This document discusses 6 open source data science projects that could impress an interviewer: 1) Facebook AI's DETR model for computer vision, 2) A real-time image animation project using OpenCV, 3) OpenAI's massive GPT-3 natural language processing model, 4) A Python audio analysis library called PyAudio, 5) A Python tool called TextShot for extracting text from screenshots, and 6) A collaborative effort called ML Visuals for communicating data science work through visuals and templates.
Through a case study focused on Google Search Appliance, Bryan Bell illustrates how, by exploiting deep linguistic analysis, corporations can enhance the effectiveness of their existing search platforms and achieve true results. Following the session,
This presentation educates you about top data science project ideas for Beginner, Intermediate and Advanced. the ideas such as Fake News Detection Using Python, Data Science Project on, Detecting Forest Fire, Detection of Road Lane Lines, Project on Sentimental Analysis, Speech Recognition, Developing Chatbots, Detection of Credit Card Fraud and Customer Segmentations etc:
For more topics stay tuned with Learnbay.
TCS Point of View Session - Analyze by Dr. Gautam Shroff, VP and Chief Scient...Tata Consultancy Services
If insights are available from mass amounts of data, you require enormous agility across business units to act on these. Understand how your peers tackle such problems and what new approaches are available to businesses.
Multisoft Systems is a renowned training organization that focuses on providing quality training programs to the candidates. Their “Data Science with R” training program is designed for Data/Business Analysts and anyone who has an interest in the field of Data Science. You will learn to explore R data structures and syntaxes, work with data and transform them to fit your needs, create functions and use control flow, etc.
https://www.multisoftsystems.com
Through a case study focused on Google Search Appliance, Bryan Bell illustrates how, by exploiting deep linguistic analysis, corporations can enhance the effectiveness of their existing search platforms and achieve true results. Following the session,
This presentation educates you about top data science project ideas for Beginner, Intermediate and Advanced. the ideas such as Fake News Detection Using Python, Data Science Project on, Detecting Forest Fire, Detection of Road Lane Lines, Project on Sentimental Analysis, Speech Recognition, Developing Chatbots, Detection of Credit Card Fraud and Customer Segmentations etc:
For more topics stay tuned with Learnbay.
TCS Point of View Session - Analyze by Dr. Gautam Shroff, VP and Chief Scient...Tata Consultancy Services
If insights are available from mass amounts of data, you require enormous agility across business units to act on these. Understand how your peers tackle such problems and what new approaches are available to businesses.
Multisoft Systems is a renowned training organization that focuses on providing quality training programs to the candidates. Their “Data Science with R” training program is designed for Data/Business Analysts and anyone who has an interest in the field of Data Science. You will learn to explore R data structures and syntaxes, work with data and transform them to fit your needs, create functions and use control flow, etc.
https://www.multisoftsystems.com
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
The Agenda for the Webinar:
1. Introduction to Python.
2. Python and Big Data.
3. Python and Data Science.
4. Key features of Python and their usage in Business Analytics.
5. Business Analytics with Python – Real world Use Cases.
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. It’s easy to learn simple syntax is very accessible to new programmers and is similar to Matlab, C/C++, Java, or Visual Basic. Python is general purpose and comparatively easy to learn with an increased adoption for analytical and quantitative computing. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
PYTHON FOR DATA SCIENCE- EXPLAINED IN 6 EASY STEPSUSDSI
Python is the top programming language loved by majority of software developers worldwide, excerpts TIOBE. This is a clear win situation for a programming language to be this successful. Data scientists’ positions will continue to be among the fastest-growing jobs in 2024 (US BLS). Isn’t that a great opportunity for you to enter the field with staggering expertise in Python and other programming nuances?
business model, business model canvas, mission model, mission model canvas, customer development, lean launchpad, lean startup, stanford, startup, steve blank, entrepreneurship, I-Corps, Stanford
A new wave of Artificial intelligence has emerged which has revolutionized the industry/academia.. Much like the web took advantage of existing technologies, this new wave builds on trends such as the decline in the cost of computing hardware, the emergence of the cloud, the fundamental consumerization of the enterprise and, of course, the mobile revolution.
Deep Learning has achieved remarkable breakthroughs, which have, in turn, driven performance improvements across AI components.
Webinar: Mastering Python - An Excellent tool for Web Scraping and Data Anal...Edureka!
The free webinar on Python titled "Mastering Python - An Excellent tool for Web Scraping and Data Analysis" was conducted by Edureka on 14th November 2014
🌟Is Learning Python Your Career Game-Changer? 🚀🐍abhishekdf3
The Next Big Thing to look up onto is Python and there is no doubt about that. Questions related to its worth, career opportunities or available jobs are not to be worried about. As Python is rapidly ceasing the popularity amongst developers and various other fields, its contribution to the advancement of your career is immense.
There are reasons why Python is “the one”. It is easily scripted language that can be learned quickly. Hence reducing the overall development time of the project code. It has a set of different libraries and APIs that support data analysis, data visualization, and data manipulation.
Before proceeding ahead, you must check :- https://data-flair.training/blogs/python-career-path/
From Lab to Factory: Or how to turn data into valuePeadar Coyle
We've all heard of 'big data' or data science, but how do we convert these trends into actual business value. I share case studies, and technology tips and talk about the challenges of the data science process. This is all based on two years of in-the-field research of deploying models, and going from prototypes to production.
These are slides from my talk at PyCon Ireland 2015
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
SoftElegance Services: Data Science, Data Engineering, Big Data Architecture Daryna Dubitska
Big Data - it’s a huge amount of information which use unique instruments, methods, treatment approach, and system analysis.
SoftElegance can offer you all spectre of Big Data Services!
Benefiting from Semantic AI along the data life cycleMartin Kaltenböck
Slides of 1 hour session of Martin Kaltenböck (CFO and Managing Partner of Semantic Web Company / PoolParty Software Ltd) on 19 March 2019 in Boston, US at the Enterprise Data World 2019, with its title: Benefiting from Semantic AI along the data life cycle.
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Diving into Machine Learning with Rob Craft, Group Product Manager at Google!TheFamily
Wanna know more about machine learning and predictive analytics?
We’re thrilled to welcome Rob Craft - Group Product Manager at Google Cloud Platform during lunch break!
Coming from San-Francisco, Rob Craft is the lead Product Manager for the Cloud Intelligence team in Google Cloud Platform. He is responsible for Cloud Machine Learning, Cloud Search, Internet of Things, and Cloud Pub/Sub.
Rob will discuss how you can leverage the power of ML whether you have a machine learning team of your own or if you just want to use ML as a service. Google has invested deeply in machine learning for many years and is using it across its highly successful consumer businesses. Google Cloud Platform is using the power of that work, adding in powerful data management tools, support for collaborative experiments, and predictions at Google scale.
Rob has spent many years focused on building great products on the leading edge of what's next. This time spans early days working on OS kernels and .Net, High Performance Computing, and transforming the cloud with machine learning.
One kind of artificial intelligence, known as generative AI, strives to simulate human ingenuity by generating original works of art like photographs, music, and even videos. Generative AI has the potential to disrupt a wide range of fields by combining deep learning methods with large datasets, from the creative arts to medicine to industry.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Similar to 6 Open Source Data Science Projects To Impress Your Interviewer
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
The Agenda for the Webinar:
1. Introduction to Python.
2. Python and Big Data.
3. Python and Data Science.
4. Key features of Python and their usage in Business Analytics.
5. Business Analytics with Python – Real world Use Cases.
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. It’s easy to learn simple syntax is very accessible to new programmers and is similar to Matlab, C/C++, Java, or Visual Basic. Python is general purpose and comparatively easy to learn with an increased adoption for analytical and quantitative computing. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
PYTHON FOR DATA SCIENCE- EXPLAINED IN 6 EASY STEPSUSDSI
Python is the top programming language loved by majority of software developers worldwide, excerpts TIOBE. This is a clear win situation for a programming language to be this successful. Data scientists’ positions will continue to be among the fastest-growing jobs in 2024 (US BLS). Isn’t that a great opportunity for you to enter the field with staggering expertise in Python and other programming nuances?
business model, business model canvas, mission model, mission model canvas, customer development, lean launchpad, lean startup, stanford, startup, steve blank, entrepreneurship, I-Corps, Stanford
A new wave of Artificial intelligence has emerged which has revolutionized the industry/academia.. Much like the web took advantage of existing technologies, this new wave builds on trends such as the decline in the cost of computing hardware, the emergence of the cloud, the fundamental consumerization of the enterprise and, of course, the mobile revolution.
Deep Learning has achieved remarkable breakthroughs, which have, in turn, driven performance improvements across AI components.
Webinar: Mastering Python - An Excellent tool for Web Scraping and Data Anal...Edureka!
The free webinar on Python titled "Mastering Python - An Excellent tool for Web Scraping and Data Analysis" was conducted by Edureka on 14th November 2014
🌟Is Learning Python Your Career Game-Changer? 🚀🐍abhishekdf3
The Next Big Thing to look up onto is Python and there is no doubt about that. Questions related to its worth, career opportunities or available jobs are not to be worried about. As Python is rapidly ceasing the popularity amongst developers and various other fields, its contribution to the advancement of your career is immense.
There are reasons why Python is “the one”. It is easily scripted language that can be learned quickly. Hence reducing the overall development time of the project code. It has a set of different libraries and APIs that support data analysis, data visualization, and data manipulation.
Before proceeding ahead, you must check :- https://data-flair.training/blogs/python-career-path/
From Lab to Factory: Or how to turn data into valuePeadar Coyle
We've all heard of 'big data' or data science, but how do we convert these trends into actual business value. I share case studies, and technology tips and talk about the challenges of the data science process. This is all based on two years of in-the-field research of deploying models, and going from prototypes to production.
These are slides from my talk at PyCon Ireland 2015
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
SoftElegance Services: Data Science, Data Engineering, Big Data Architecture Daryna Dubitska
Big Data - it’s a huge amount of information which use unique instruments, methods, treatment approach, and system analysis.
SoftElegance can offer you all spectre of Big Data Services!
Benefiting from Semantic AI along the data life cycleMartin Kaltenböck
Slides of 1 hour session of Martin Kaltenböck (CFO and Managing Partner of Semantic Web Company / PoolParty Software Ltd) on 19 March 2019 in Boston, US at the Enterprise Data World 2019, with its title: Benefiting from Semantic AI along the data life cycle.
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Diving into Machine Learning with Rob Craft, Group Product Manager at Google!TheFamily
Wanna know more about machine learning and predictive analytics?
We’re thrilled to welcome Rob Craft - Group Product Manager at Google Cloud Platform during lunch break!
Coming from San-Francisco, Rob Craft is the lead Product Manager for the Cloud Intelligence team in Google Cloud Platform. He is responsible for Cloud Machine Learning, Cloud Search, Internet of Things, and Cloud Pub/Sub.
Rob will discuss how you can leverage the power of ML whether you have a machine learning team of your own or if you just want to use ML as a service. Google has invested deeply in machine learning for many years and is using it across its highly successful consumer businesses. Google Cloud Platform is using the power of that work, adding in powerful data management tools, support for collaborative experiments, and predictions at Google scale.
Rob has spent many years focused on building great products on the leading edge of what's next. This time spans early days working on OS kernels and .Net, High Performance Computing, and transforming the cloud with machine learning.
One kind of artificial intelligence, known as generative AI, strives to simulate human ingenuity by generating original works of art like photographs, music, and even videos. Generative AI has the potential to disrupt a wide range of fields by combining deep learning methods with large datasets, from the creative arts to medicine to industry.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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3. ⬢ DETR by Facebook AI is easily
the most intriguing open-source
project released in May.
⬢ The fact that it has accumulated
almost 3,000 stars within a
week is quite telling.
⬢ DETR, short for Detection
Transformer, could be a change
changer in the computer vision
space.
⬢ And DETR is supremely fast and
extremely efficient – a dream for
data science professionals!
3
5. ⬢ Another fascinating open-source computer vision project. This, as the name
suggests, let’s us perform image animation in real-time using OpenCV.
⬢ The model mimics the expression of the person in front of the camera and
changes the image accordingly. It’s a brilliant use of computer vision and a
project we’ll be trying out internally for sure.
⬢ This kind of project will have a ton of applications in the industry, from
fashion and retail to marketing and advertising.
5
7. ⬢ OpenAI has done it again! After releasing GPT-
2 last year and whipping up a media frenzy
around it, they have open-sourced their latest
Natural Language Processing (NLP)
framework – GPT-3!
⬢ Simply put, GPT-3 is the largest NLP model of
it’s kind. It has 175 billion parameters (yes,
you read that correctly) and is HUGE in terms
of size, almost 350GB.
⬢ GPT-3 is almost one of the costliest models in
history (took approximately $12 million to
train).
7
9. ⬢ This open-source data science project is a personal favorite. Created and released
by Xander Steenbrugge, esteemed speaker at the previous two DataHack Summits,
this Python library enables us to perform real-time audio analysis.
⬢ We’ll be trying out PyAudio and Xander’s work at Analytics Vidhya for sure. A lot
of our data science members are heavy music listeners and they can’t wait to sink
their teeth into this open-source project. 9
10. TextShot – An Awesome Python
Tool for Grabbing Text
5
11. ⬢ We can simply use this Python tool to grab screenshots and extract text
from them, Called TextShot (nice name), this is an excellent tool to
quickly gather any text data we require for our data science projects.
11
13. ⬢ ML Visuals is an open-source collaborative effort
to help the data science community understand
and improve technical communication.
⬢ This brilliant repository provides a lot of visuals,
templates, and figures to help you build a perfect
presentation or research paper.
13
