The Best Capstone Award is bestowed upon the capstone team chosen by the judges that best displayed a well-rounded package of the core skills essential to Data Scientists: math & statistics expertise, computing & modeling competency, domain knowledge and presentation skills. For The Women Foundation is proud to bestow this honor to Team Money which consists of Jeroselle Santos, Elyse Katrina Go, Nicole Lumagui and Bernardette Misa.
They made an app that uses machine learning to estimate fair market value for used cars trained on the Philippine market. It's incredible what they have achieved in this short program! Their team has shown committed effort, strong teamwork, and a willingness to be bold with its insights and recommendations to CARLOVE.
Amazon shows off new prime air drone deliveryRAKSHIKA MATHUR
AMAZON NEW PRIME AIR DRONE DELIVERY SERVICE WHICH DELIVERS THE PRODUCT IN 30 MIN .A SMS ALERT WILL BE SEND BY DRONE TO CUSTOMER FOR INTIMATION OF DELIVERY
Threat detection solution on AWS democratizes cyber security tools that were previously cost and skill prohibitive, so they can counter the rapidly advancing threat landscape. The result will not only assist in improving the customer's security posture, but also provide a security architecture that can scale as business workloads scale.
This solution will provide AWS customers with the capability to detect security threats, prioritize identified threats, and provide recommendations using threat intelligence. The scope is not limited to AWS, but also includes hybrid deployments, traditional data centers, enterprise/satellite offices, and other cloud service providers. Join this session to learn how you can leverage this solution to gain visibility in your environment and detect indicators of attack.
Digital Marketing Plan for Euro Car Parts Ltd.
This plan was an assigment for my Professional Diploma in Digital Marketing in the IDM (Institute of Direct and Digital Marketing).
Please be aware: this is not a real plan, it does not contain any company's real information.
Amazon shows off new prime air drone deliveryRAKSHIKA MATHUR
AMAZON NEW PRIME AIR DRONE DELIVERY SERVICE WHICH DELIVERS THE PRODUCT IN 30 MIN .A SMS ALERT WILL BE SEND BY DRONE TO CUSTOMER FOR INTIMATION OF DELIVERY
Threat detection solution on AWS democratizes cyber security tools that were previously cost and skill prohibitive, so they can counter the rapidly advancing threat landscape. The result will not only assist in improving the customer's security posture, but also provide a security architecture that can scale as business workloads scale.
This solution will provide AWS customers with the capability to detect security threats, prioritize identified threats, and provide recommendations using threat intelligence. The scope is not limited to AWS, but also includes hybrid deployments, traditional data centers, enterprise/satellite offices, and other cloud service providers. Join this session to learn how you can leverage this solution to gain visibility in your environment and detect indicators of attack.
Digital Marketing Plan for Euro Car Parts Ltd.
This plan was an assigment for my Professional Diploma in Digital Marketing in the IDM (Institute of Direct and Digital Marketing).
Please be aware: this is not a real plan, it does not contain any company's real information.
Produced by Pattern, together with Google, it analyses the automotive sector and the customer experience. The final objective is to provide valuable information to companies in the sector in order to meet consumer expectations and improve the all-round experience.
Content:
Estudio Gearshift 2020
○ Introduction & Learnings from Covid-19
○ Audiences
○ Journey design: create impact, not noise
○ The modern research journey
○ Dealerships and the rise of online purchase options
Philippine Automotive Industry Insights | AutoDeal | Q3 2018 Christopher Franks
It's not just about generating leads, but also understanding conversion. AutoDeal.com.ph, the Philippines no.1. automotive marketplace provides Insights on consumer behavior related to the Philippine automotive industry. Data focuses on car buyer preferences, online shopping behavior and lead-management fundamentals.
Prediction of Car Price using Linear Regressionijtsrd
In this paper, we look at how supervised machine learning techniques can be used to forecast car prices in India. Data from the online marketplace quikr was used to make the predictions. The predictions were made using a variety of methods, including multiple linear regression analysis, Random forest regressor and Randomized search CV. The predictions are then analyzed and compared to determine which ones provide the best results. A seemingly simple problem turned out to be extremely difficult to solve accurately. All of the strategies yielded similar results. In the future, we want to make predictions using more advanced technologies. Ravi Shastri | Dr. A Rengarajan "Prediction of Car Price using Linear Regression" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42421.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/42421/prediction-of-car-price-using-linear-regression/ravi-shastri
India Pre-owned Car Market Report - 2nd Edition (2017)tarunbhatia1990
The second edition of our flagship study provides updates to the basic market metrics that all industry practitioners have found useful and in addition, in light of the market disruptions in 2017 (demonetisation, GST, etc.), this report reviews their impact on the overall pre-owned vehicle market in India.
This presentation contains an elaborate (Porter's) Five-Forces Analysis of Car2Go in Frankfurt am Main as a "Free-floating Car-sharing" provider. Additionally, you can find a detailed S-W-O-T Analysis and followinh strategic recommendations for the defined market in Frankfurt, Germany. It has been a strategy project for university so all used information and content is publicly available.
Growing digitalization and technology advancements are reshaping the
global automobile industry. Digital Transformation acts as an enabler of
fundamental innovation and disruption in this sector by transforming it to a
digitally driven solutions focussed industry accelerated by the expectations
of the new generation customers.
According to WHO about 1.4 Million people die due to traffic accidents every year. About 80% of crashes involved some form of driver inattention, and the primary causes of driver inattention are distracting activities and drowsiness. Driventive offers a mobile app that takes advantage of generic phone cameras and deep-learning to detect distraction / drowsiness while driving.
Urban Mobility- New business models and shared mobility conceptsaccilium GmbH
Uber, Didi or Gett, who will crown himself the king of urban ground mobility? Without a doubt, it takes the right business model in order to win the ground transportation market and become the dominant player of shared mobility.
Indian Used Car Market Outlook to 2021, report aims to provide an estimate of the used car market in India for 2016 and to projected demand by 2021. Detailed market share analysis, company profiles of major players along with trends and projected developments, insights on consumer preference and behavior, especially in the online segment of the markets are discussed in the report.
Microfinance institutions are recognized as an effective method of directly improving the lives of those who are most in need as it provides financial services such as loans to poor families.
However, one of its obstacles in achieving its objectives to service the poor and broaden financial inclusion are fraudulent activities that are a threat to the institutions’ long-term sustainability.
Through proper dashboarding and early investigations of cases with identified deviations of key transactions, the capstone of Team Women5Dev composed of Rochelle Derilo, Jessa Gavilla, Gizelle Nacor, and Patricia Pangatungan used analytics as an aid for cross-functional fraud investigation for a microfinance institution. With appropriate levels of monitoring and tracking, now microfinance institutions can quickly point out potential fraudulent activities for improved risk assessment and operations.
-------------------------------------------------------------
The growing cases of the COVID-19 pandemic is exacerbated by a widespread of misinformation published in various media platforms today. This is the reason why the L4H portal was created in order to inform the public about the condition of the country thru data-driven analysis and facts. The COVID-19 RISK TRACKER IN THE PHILIPPINES is sponsored by L4H and Cirrolytix Research Services which has the objective to enhance the portal with the purpose of empowering the LGUs to make faster and better decisions supported by data and insight. Insights are further improved by increasing the scope of data processed to include regional and provincial levels, expanding learnings by further exploring the DOH data drop and streamlining the overall visual and interactive experience of its users.
More Related Content
Similar to Second Hand Cars in the Philippines: A Buyer's Guide
Produced by Pattern, together with Google, it analyses the automotive sector and the customer experience. The final objective is to provide valuable information to companies in the sector in order to meet consumer expectations and improve the all-round experience.
Content:
Estudio Gearshift 2020
○ Introduction & Learnings from Covid-19
○ Audiences
○ Journey design: create impact, not noise
○ The modern research journey
○ Dealerships and the rise of online purchase options
Philippine Automotive Industry Insights | AutoDeal | Q3 2018 Christopher Franks
It's not just about generating leads, but also understanding conversion. AutoDeal.com.ph, the Philippines no.1. automotive marketplace provides Insights on consumer behavior related to the Philippine automotive industry. Data focuses on car buyer preferences, online shopping behavior and lead-management fundamentals.
Prediction of Car Price using Linear Regressionijtsrd
In this paper, we look at how supervised machine learning techniques can be used to forecast car prices in India. Data from the online marketplace quikr was used to make the predictions. The predictions were made using a variety of methods, including multiple linear regression analysis, Random forest regressor and Randomized search CV. The predictions are then analyzed and compared to determine which ones provide the best results. A seemingly simple problem turned out to be extremely difficult to solve accurately. All of the strategies yielded similar results. In the future, we want to make predictions using more advanced technologies. Ravi Shastri | Dr. A Rengarajan "Prediction of Car Price using Linear Regression" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42421.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/42421/prediction-of-car-price-using-linear-regression/ravi-shastri
India Pre-owned Car Market Report - 2nd Edition (2017)tarunbhatia1990
The second edition of our flagship study provides updates to the basic market metrics that all industry practitioners have found useful and in addition, in light of the market disruptions in 2017 (demonetisation, GST, etc.), this report reviews their impact on the overall pre-owned vehicle market in India.
This presentation contains an elaborate (Porter's) Five-Forces Analysis of Car2Go in Frankfurt am Main as a "Free-floating Car-sharing" provider. Additionally, you can find a detailed S-W-O-T Analysis and followinh strategic recommendations for the defined market in Frankfurt, Germany. It has been a strategy project for university so all used information and content is publicly available.
Growing digitalization and technology advancements are reshaping the
global automobile industry. Digital Transformation acts as an enabler of
fundamental innovation and disruption in this sector by transforming it to a
digitally driven solutions focussed industry accelerated by the expectations
of the new generation customers.
According to WHO about 1.4 Million people die due to traffic accidents every year. About 80% of crashes involved some form of driver inattention, and the primary causes of driver inattention are distracting activities and drowsiness. Driventive offers a mobile app that takes advantage of generic phone cameras and deep-learning to detect distraction / drowsiness while driving.
Urban Mobility- New business models and shared mobility conceptsaccilium GmbH
Uber, Didi or Gett, who will crown himself the king of urban ground mobility? Without a doubt, it takes the right business model in order to win the ground transportation market and become the dominant player of shared mobility.
Indian Used Car Market Outlook to 2021, report aims to provide an estimate of the used car market in India for 2016 and to projected demand by 2021. Detailed market share analysis, company profiles of major players along with trends and projected developments, insights on consumer preference and behavior, especially in the online segment of the markets are discussed in the report.
Similar to Second Hand Cars in the Philippines: A Buyer's Guide (20)
Microfinance institutions are recognized as an effective method of directly improving the lives of those who are most in need as it provides financial services such as loans to poor families.
However, one of its obstacles in achieving its objectives to service the poor and broaden financial inclusion are fraudulent activities that are a threat to the institutions’ long-term sustainability.
Through proper dashboarding and early investigations of cases with identified deviations of key transactions, the capstone of Team Women5Dev composed of Rochelle Derilo, Jessa Gavilla, Gizelle Nacor, and Patricia Pangatungan used analytics as an aid for cross-functional fraud investigation for a microfinance institution. With appropriate levels of monitoring and tracking, now microfinance institutions can quickly point out potential fraudulent activities for improved risk assessment and operations.
-------------------------------------------------------------
The growing cases of the COVID-19 pandemic is exacerbated by a widespread of misinformation published in various media platforms today. This is the reason why the L4H portal was created in order to inform the public about the condition of the country thru data-driven analysis and facts. The COVID-19 RISK TRACKER IN THE PHILIPPINES is sponsored by L4H and Cirrolytix Research Services which has the objective to enhance the portal with the purpose of empowering the LGUs to make faster and better decisions supported by data and insight. Insights are further improved by increasing the scope of data processed to include regional and provincial levels, expanding learnings by further exploring the DOH data drop and streamlining the overall visual and interactive experience of its users.
One of the Philippine’s fast-growing micro-finance institutions, with the aim to uplift millions of Filipino lives through micro-financing. But with increasing customer attrition, how can they retain them in order to serve them? Four data science scholars. 14 weeks. Find out how they, together with the guidance of their mentor, harnessed the power of analytics to provide solutions to a company on a mission to improve the economic well-being of the poor
Academic success is a huge contributor in the sustainable development of a country, and the rising number of students failing in their classes is a problem Imperial Academy has been trying to address. One of the ways to combat this problem is to identify the factors linked to students at risk of failure and to employ early and appropriate interventions.
Using Imperial Academy's data, Team Braving deployed an application that predicts whether a student is likely to fail at least one subject based on identified risk factors. This application allows Imperial Academy to better allocate their resources through targeted implementation of their designed interventions for students at risk of failing.
Everybody wants to be a certified professional in the field they have. Thus, passing the board exams is essential, and thanks to review centers for guiding us to achieve this. But enrolling in a data-driven review center that can help you in areas you really need is smarter.
Team Shiftees use the data from students' review exams performance and created a web application to predict the probability of a student in passing the board exams. Through this application, it can help the review center provide early interventions to students who needed them most.
Recruitment is a tedious process, it can take from a few days to four months. But what if the applicant declined an offer? Working with a Maritime Recruitment Agency, Team Pyramid, Grachel Quiñones, Charlene Galang, and Lhen de Guzman, analyzed the data to determine the factor why an applicant rejects a job offer.
Franchesca Ivane Manuntag, Mari Jo Pabilonia, Julia Krista Villadiego and Charina Ortiz of Team OMQ were initially tasked to create a Headline Analyzer for a Content Marketing Agency to capture the attention of their niche market. But is headline enough? There is a shift in the viewership and the client needs to identify what exactly do their target readers want. Using advanced data science techniques such as LDA (Latent Dirichlet Allocation) Topic Modeling and XGBoost Regression, the team took on the challenge of creating ART-E (ARTicle Evaluator), a tool that can describe what exactly makes an article popular and predict viewership even before an article gets published.
Charlene Grajales, Dina Derla and Maria Regina Corazon Sibal of Team IntensiPy took on the challenge of identifying sales drivers from an appliance distributing and sales company. The challenge was to look into a year’s data with 347 thousand sales records and 14 features, as they tried to solve, “What are the sales drivers for an appliance? How do these drivers affect sales?”
Weekly company sales data as well as client validate competitor data was explored for data visualization, analytics and model development. The team was able to produce an interactive dashboard highlighting major sales drivers for the company, share kite key insights and observations from the data and looked into possible external factors that can validate the results. They went further to create a prototype sales predictor web application that can generate weekly projections for sales for user selected features.
Today, electricity has become one of our basic needs. As consumers, it has become quite impossible to be independent of it to the point that it has been taken for granted. Behind the ease of flicking a switch to turn on the lights is a convoluted market for electricity. Just like any other good, electricity is trade-able and its trading is as complicated as it gets.
To help AC Energy understand the market better, generation and bidding profiling of gencos was conducted by Alyssa Katelyn Castillo. By identifying the activities and tendencies of each plant, more informed actions in the market are made available. Add to that being able to assess the bidding behavior of competitors, a competitive advantage is created.
These days, electricity has become a basic good, but it is rarely understood. It's a little known fact that there is a market for electricity. Even more so, that electricity in the Philippines is a tradable commodity. Knowing how this market works and what power plants actually do is both informative and interesting to know.
A Closer Look: Data Science Consulting Firm - Business Analysis on Clients an...For The Women Foundation
As the world of Data Science emerges here in the Philippines, where does the future lie for a consulting company who depends on Data Science and Analytics to help improve their clients? For The Wine Team composed of Gladys Joyce Yu and Jan Stephanie Roxas helped a consulting company to group clients and analyze who brings the most profit to the company. They also helped identify the qualities of a productive consultant that will help every data scientist to be more effective in this field.
Given only the billable hours from projects, the focus of this study was to find out which client types are most profitable and which employee types are most productive. With the results of our study, a Data Science consulting firm could:
strategize if they should target certain industries as clients
identify a high potential employee based on their profile
monitor the productivity rate of employees to have a check and balance
Tweet Trend Trade: An analysis of Twitter sentiments about members of the Ph...For The Women Foundation
About less than 5% of Filipinos invest in the Philippine Stock Exchange. It can be daunting to learn how, when and if to trade at all. Team MCU members Isabel Mañalac, Alexis Canaria and Erika Ureta took on the challenge of helping more Filipinos get into trading and increase their financial literacy. But by being part of the 95%, themselves, the team first learned how traders think, and that the market moves with their sentiment. Using Twitter as one medium for reading the market, tweets and stock quotes from 2012 to 2020 were scraped and modeled together to analyze movement affecting factors.
The Bangsamoro Autonomous Region of Muslim Mindanao (BARMM) has been hit by 232 earthquakes in tha past 50 years, including the 3 consecutive earthquakes that rocked Cotabato City in October 2019. To help the BARMM government become more resilient, Team Spyce Girls composed of Elaine Cotoner, Kimberly Cris Estrella and Sarah Khey Ebido deployed a hazard map that indicates low, medium, and high-risk municipalities based on magnitude, depth, and how often earthquakes occur in the area.
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We may be nowhere near eradicating Dengue, but we may be able to prevent it more effectively. Through Time-Series Modeling and geospatial mapping, Team Flex was able to predict and forecast cases and deaths up to 4 months and identify potential dengue hotspots in selected cities of the CALABARZON region.
The global threat of disease outbreaks is real and it is felt more than ever now as the world struggles to contain the spread of a certain virus. But before it even created a pandemic, there is already another disease that threatens our existence, perhaps has been doing so for the longest time – Dengue.
Dengue affects thousands of lives each year and continues to be a major public health problem in the Philippines.
In the last year alone, the Philippines experienced the worst dengue outbreak since 2012 as reported cases reached beyond epidemic thresholds. On top of that, the delayed reporting of official case and death counts makes it even more difficult to pinpoint heavily dengue affected areas early on and initiate a targeted public health response. To address this problem, Team Flex members, Janine Padilla, Mox Ballo, and Rache Melendres, developed a publicly accessible web application
that can be used by concerned government agencies and public health officials to predict the spread of dengue and visualize potential breeding sites of mosquitoes.
There are many students applying for a loan but only a few complete the process. Diosa Jamila Angsioco, Kathlyn Cacho, and Hanceely Villa were motivated to make a study regarding student loans to improve access to education.
Tropang South was able to determine the bottlenecks in the application process and as a result, they provided better marketing strategy for Bukas Finance Corp.
The scholars performed classification and clustering algorithms to address the drop off issue of many interested applicants on an online student loan company. In addition, they gathered significant information regarding the personas of the applicants and recommended ways to gather leads for the company.
For The Women (FTW) Foundation is a nonprofit, dynamic learning community for data science and artificial intelligence in Manila!
Our community is where people and companies who believe the Philippines can be one of the data capitals of the world.
Every year, lives and properties are lost because of fires. With this in mind, our scholars wanted to do their part in helping prevent these incidents using data analysis.
Using information scraped from Twitter, Team Data Trippers: Aida Ellaine Abalos, Alyssandra Raiza del Valle, and Kathleen Criselle Reverente, explored data surrounding fire incidents in Metro Manila from Jan 2017-Jul 2019.
In addition to mapping these incidents, the team explored various historical trends, as well as the relationship between the number and duration of fire incidents to certain features.
National Achievement Test or NAT is a standardized test given to Grades 6, 10 and 12 students to determine their academic performance in different subject areas. With that, Maria Theresa Capule-Navarro, Edlyn Oligario, and Jean Estadilla identified the key factors that affect NAT result using machine learning model that can help in making policies for the development of education.
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Leona Mei Villanueva and Alyssa Melody Frias Paglumotan tried to find out the factors that could be affecting the success of a game and suggest possible considerations in creating one in the future.
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Cortex sponsored a capstone project made by Team FRIENDS which is all about user segmentation of app behavior. It aims to determine different user behavior on the app through the use of various techniques such as visualization, clustering, and RF Analysis.
Renzy Bantigue, Nyssa Michelle Kho, and Frances Erika Claravall provided the company facts and figures on how the customers use the mobile application through data analytics and then crafted a machine learning model that will cluster the customers based on their app usage. The group used these insights to provide recommendations to the company, such as marketing campaigns and product improvement.
With mobile phones in most people’s pockets, Telus International sponsored Team Data Saiyans to make a study on mobile app games.
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With the heavy use of social media by most Filipinos to review products and services, Team Unicorn was sponsored by TELUS International Philippines to study the reactions to different posts to help companies improve information dissemination and customer experience.
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Want to hire a #datascientist? http://bit.ly/hireFTW
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...Autohaus Service and Sales
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Fleet management these days is next to impossible without connected vehicle solutions. Why? Well, fleet trackers and accompanying connected vehicle management solutions tend to offer quite a few hard-to-ignore benefits to fleet managers and businesses alike. Let’s check them out!
𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
Over the 10 years, we have gained a strong foothold in the market due to our range's high quality, competitive prices, and time-lined delivery schedules.
Comprehensive program for Agricultural Finance, the Automotive Sector, and Empowerment . We will define the full scope and provide a detailed two-week plan for identifying strategic partners in each area within Limpopo, including target areas.:
1. Agricultural : Supporting Primary and Secondary Agriculture
• Scope: Provide support solutions to enhance agricultural productivity and sustainability.
• Target Areas: Polokwane, Tzaneen, Thohoyandou, Makhado, and Giyani.
2. Automotive Sector: Partnerships with Mechanics and Panel Beater Shops
• Scope: Develop collaborations with automotive service providers to improve service quality and business operations.
• Target Areas: Polokwane, Lephalale, Mokopane, Phalaborwa, and Bela-Bela.
3. Empowerment : Focusing on Women Empowerment
• Scope: Provide business support support and training to women-owned businesses, promoting economic inclusion.
• Target Areas: Polokwane, Thohoyandou, Musina, Burgersfort, and Louis Trichardt.
We will also prioritize Industrial Economic Zone areas and their priorities.
Sign up on https://profilesmes.online/welcome/
To be eligible:
1. You must have a registered business and operate in Limpopo
2. Generate revenue
3. Sectors : Agriculture ( primary and secondary) and Automative
Women and Youth are encouraged to apply even if you don't fall in those sectors.
Core technology of Hyundai Motor Group's EV platform 'E-GMP'Hyundai Motor Group
What’s the force behind Hyundai Motor Group's EV performance and quality?
Maximized driving performance and quick charging time through high-density battery pack and fast charging technology and applicable to various vehicle types!
Discover more about Hyundai Motor Group’s EV platform ‘E-GMP’!
Symptoms like intermittent starting and key recognition errors signal potential problems with your Mercedes’ EIS. Use diagnostic steps like error code checks and spare key tests. Professional diagnosis and solutions like EIS replacement ensure safe driving. Consult a qualified technician for accurate diagnosis and repair.
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
What Exactly Is The Common Rail Direct Injection System & How Does It WorkMotor Cars International
Learn about Common Rail Direct Injection (CRDi) - the revolutionary technology that has made diesel engines more efficient. Explore its workings, advantages like enhanced fuel efficiency and increased power output, along with drawbacks such as complexity and higher initial cost. Compare CRDi with traditional diesel engines and discover why it's the preferred choice for modern engines.
5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
IBS monitors and manages your BMW’s battery performance. If it malfunctions, you will have to deal with an array of electrical issues in your vehicle. Recognize warning signs like dimming headlights, frequent battery replacements, and electrical malfunctions to address potential IBS issues promptly.
Things to remember while upgrading the brakes of your carjennifermiller8137
Upgrading the brakes of your car? Keep these things in mind before doing so. Additionally, start using an OBD 2 GPS tracker so that you never miss a vehicle maintenance appointment. On top of this, a car GPS tracker will also let you master good driving habits that will let you increase the operational life of your car’s brakes.
"Trans Failsafe Prog" on your BMW X5 indicates potential transmission issues requiring immediate action. This safety feature activates in response to abnormalities like low fluid levels, leaks, faulty sensors, electrical or mechanical failures, and overheating.
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Second Hand Cars in the Philippines: A Buyer's Guide
1. SECOND HAND CARS IN THE PH: A Buyer’s Guide
FTW Data Science Batch 2 - Team Money | Go | Lumagui | Misa | Santos |
10 August 2019
2. 2
Problem
Context
Solution
Our Model
Why do we need this?
How does it work?
How does this fare with the other
calculators out there?
Final Caveats and Recommendations
SECOND HAND
CARS
IN THE PH:
A Buyer’s Guide
15. 15
Why buy used cars?
More savings Cheaper
insurance cost
Slower
depreciation
Good for the
environment
Extended
warranty
16. 16
Buying used cars usually involves two steps:
Consumer chooses preferred car-type Consumer tries to find a special offer
for sale (Looks for the best “price-quality-level”)
1 2
(Refers to used car buy/sell websites)
17. 17
What is a lemon car?
Lemon Car
=
Overpriced car
Sellers know more
than the buyer
18. 18
Risks of buying used cars
Unknown
reliability or
treatment
More
frequent
maintenance
Untouched
warranty
Hard to find
an exact
match of what
you want
19. 19
How can we help consumers in their journey of
buying a second hand car?
21. 21
1. Predict prices of used cars in the
Philippines based on data from
top local buy-and-sell websites
for cars
2. Propose a comprehensive and
scalable “fair value” pricing
model for used cars sold online
SOLUTION
23. 23
How do consumers currently compute the price of used cars?
Custom Car depreciation calculator
Straight-line depreciation
Third party appraisal
Checking price of second hand or repossessed vehicles
(banks, online marketplace, local car dealers)
24. 24
Employing machine learning (ML) tools is becoming a trend for predicting used car prices
Used simple machine learning
tools to predict car prices in
Mauritius based on historical
data collected from
newspapers
Poor model
performance
2014 2018
Made a comparative analysis
on regression models for
predicting prices of used cars
listed in a German
e-commerce website
Combination of
machine learning
tools used to improve
model performance
2019
Predicted price of used cars
in Bosnia and Herzegovina
using scraped data from a
website and used advanced
machine learning tools
Used ensemble
methods, but fine
tuning is needed
Linear Regression
Decision Tree
KNN
Random Forest
Multiple Linear Regression
Gradient Boosting
Artificial Neural Network
25. 25
How about our model?
OUR
MODEL
Predicted price = Actual
price
“Overpriced”
cars
“Underpriced”
cars
26. 26
How about our model?
Our model Straight-line depreciation
“Underpriced”
cars
“Underpriced”
cars
“Overpriced”
cars
“Overpriced”
cars
Overpricing of cars has been reduced
with our model.
28. 28
What it can do What it can’t do
Does not account for the markup of the
seller when posting in a used car
marketplace (haggling room for sellers)
Does not account for issues of that is
not captured in the data points we
considered
Data only represents information
scraped on a limited time frame
Predict price of used cars on a local
context
Conservative estimations in the used
car price
Accounts for 12 features or factors in
predicting the price
29. Final dataset
29
Data was scraped from the used car listings online and their brand new counterparts
Brand
Body type
Model
Price
Mileage (in km)
Retail price (new)
Seller type
Used car listings Retail prices of
brand new cars Age of Car
Location
Color
Transmission type
Fuel type
Age of the post (in
days)
30. 30
Data was scraped from the used car listings online and their brand new counterparts
Philkotse Carmudi
31. Age Retail Price
31
2nd Hand Car Price
CURRENT ONLINE CALCULATORS WHAT WE ACCOUNTED FOR
Age Retail Price Mileage Brand/Make
Body Type Fuel Type Age of post Individual /
Dealer
Color Family Location Transmission Type Model
34. 34
Model #1: Decision Tree was used to determine the key component affecting car price
Feature Importance:
Retail
Age of the Car
Mileage
Model
Brand
42. 42
What is a lemon car?
Lemon Car = Overpriced car
Sellers know more than
the buyer
“Bad cars tend to drive out
the good [cars]”
“Dishonest dealings tend to
drive honest dealings out of
the market”
43. 43
Next Steps:
1. Adding more data from other marketplaces
2. Talk about what the model can and can’t do (make a slide)
3. Use data from bank’s prices on cars (repossessed)
4. Highlight what’s surprising (poor relevance of dealer/individual)
Recommendations
44. 44
References
1. Akerlof, G. “The Market for ‘Lemons’: Quality Uncertainty and the Market Mechanism”. The Quarterly Journal of Economics, vol. 84, no. 3, 1970, pp. 488-500.
2. Pudaruth,S. “Predicting the Price of Used Cars using Machine Learning Techniques”. International Journal of Information & Computation Technology, vol. 4, no. 7, 2014. pp. 753-764.
3. Monborinon et. al. “Prediction of Prices for Used Car by Using Regression Models “. 2018 5th International Conference on Business and Industrial Research (ICBIR), Bangkok,
Thailand, pp. 115-119.
4. Gegic et. al. “Car Price Prediction using Machine Learning Techniques”. TEM Journal, vol. 8, issue 1, 2019. pp. 113-118.
5. “Hedonic Methods of Price Measurement for Used Cars”. German Federal Statistics Office. 20 Oct 2003. Web. 29 July 2019.
6. Venturi, D. “The Data Science Process”. 27 Jan 2017. Web. 30 Jul 2019.
7. “5 Reasons Why You Should Buy a Used Car”. Business Standard. 20 May 2016. Web. 31 July 2019.
8. Smith, L. “Car Shopping: New or Used?” Investopedia. 22 Jul 2019. Web. 02 Aug 2019.
Image Sources:
1. https://www.carlove.ph/
2. https://st.motortrend.com/uploads/sites/11/2018/07/Mulsanne-WO-Edition-hero.jpg
3. http://www.autoinsurancecompanion.com/wp-content/uploads/2015/06/car-insurance.png
4. https://pngimage.net/wp-content/uploads/2018/06/money-blue-icon-png-5.png
5. https://www.pngkey.com/detail/u2w7q8y3t4e6y3t4_how-best-to-manage-vehicle-depreciation-icon/
6. https://ii.alatest.com/css/b2b/bootstrap/icon-shieldblue.svg
7. https://img.playbuzz.com/image/upload/q_auto:good,f_auto,fl_lossy,w_640,c_limit/v1539199075/malv1khwwkzctorcw0k5.png
8. https://img.playbuzz.com/image/upload/q_auto:good,f_auto,fl_lossy,w_640,c_limit/v1539199075/x5anm65ggltf1m5perig.png
9. https://business.inquirer.net/files/2018/01/Carmudi-logo.jpg
10. https://pbs.twimg.com/profile_images/827469003886956544/6VecITV0_400x400.jpg
11. https://www.autodeal.com.ph/images/essentials/logo_black.svg
12. https://business.inquirer.net/files/2018/01/Carmudi-logo.jpg
13. https://pbs.twimg.com/profile_images/827469003886956544/6VecITV0_400x400.jpg
14. https://www.autodeal.com.ph/images/essentials/logo_black.svg
15. https://www.holmanparts.com/wp-content/uploads/maintenance-icon.png
16. http://pngimg.com/uploads/question_mark/question_mark_PNG49.png
17. https://dumielauxepices.net/wallpaper-2207748
18. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT10rMqofw_MgHLeHXUOqeNQwZRt0y4rx8hvLTTU3ZfSBH8cHTB
19. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS4KaKKH8ypAelm02kz_IM5MKUlFe5pecAgH2iottJaY-docVU7
20. https://www.kisspng.com/png-computer-icons-tree-garden-arborist-deciduous-tree-5105096/
21. https://i0.wp.com/www.usedcarguys.com.au/wp-content/uploads/2017/08/avoid-buying-bad-car.jpg
22. https://miro.medium.com/max/1280/1*b9BXv0uAkbSAn8MJIa4-_Q.gif
45. Glossary of Terms
Make - brand of the car
Mileage - total distance traveled for a given time
Age - the time between the car’s year of manufacture and the present
Body type - the design or style of a car
Location - the user’s (creator of the classified ad) location
Transmission - how a car shifts gears (e.g. automatic or manual)
Fuel Type - what type of fuel it uses
Engine Size - how large a space the engine’s pistons operate in