Sales Prediction Using Logistic Regression

SRI KRISHNA INSTITUTE OF TECHNOLOGY
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
INTERNSHIP ON
“SALES PREDICTION USING LOGISTIC REGRESSION”
PRESENTED BY UNDER THE GUIDANCE OF
Manishankar S (1KT19CS039) Name: Dr. Deepak S Sakkari
Designation: Professor
Dept: CSE
DATE: 02-03-2023 BATCH NO: 04

OVERVIEW
▪ ABOUT THE COMPANY
▪ ABOUT THE DOMAIN
▪ INTERNSHIP OBJECTIVES
▪ ACTIVITIES PERFORMED
▪ REFLECTION NOTES
▪ CONCLUSION
1
DEPT OF CSE

ABOUT THE COMPANY
 Inventeron Technologies And Business Solutions LLP COMPANY , is an entity
incorporated on 24 December 2013 and is registered under its relevant statute by the Registrar
of Companies (i.e. R.O.C), Bangalore.
 It is basically a service and product oriented Research and Development Embedded
Technologies Company.
 Although they are in Embedded Technologies they have focused their concentration in to
software service like Website Design and Development, Java .Net, Android applications.
 Also known for Computer Training Institutes, Internet Website Developers, Digital Marketing
Services, Marketing Services, Computer Training Institutes For Embedded System focused on
IOT and smart Modules.
2
DEPT OF CSE

ABOUT THE DOMAIN
• AI (Artificial Intelligence) refers to the development of computer systems that can perform tasks that would
typically require human intelligence, such as learning, problem-solving, and decision-making.
• ML (Machine Learning) is a subfield of AI that involves the use of algorithms and statistical models to
enable computers to learn from data and make predictions or decisions without being explicitly
programmed.
• One of the primary applications of AI and ML is in data analysis, where they are used to uncover patterns,
trends, and insights in large datasets.
• Another key area of AI and ML is in natural language processing (NLP), where algorithms are used to
analyze and understand human language.
• AI and ML are also increasingly being used in areas such as autonomous vehicles, robotics, and healthcare.
3
DEPT OF CSE

ABOUT THE DOMAIN
• One of the biggest advantages of AI and ML is their ability to process large amounts of data quickly
and accurately, which can help organizations make better decisions and improve efficiency.
• However, there are also concerns about the ethical implications of AI and ML, particularly around
issues such as privacy, bias, and accountability.
• To develop effective AI and ML systems, it is important to have access to large, high-quality datasets,
as well as the computational resources necessary to process them.
• There are a variety of programming languages and tools used in AI and ML, including
Python, TensorFlow, and PyTorch.
• As the field of AI and ML continues to evolve, there will likely be new applications and challenges that
emerge, requiring ongoing research and innovation.
4
DEPT OF CSE

INTERNSHIP OBJECTIVES
• To gain practical experience in the field. This includes working on real-world projects,
implementing machine learning algorithms, and experimenting with data analysis
techniques.
• To learn from experts in the field. That every Interns should seek
• To build a professional network in the field. Interns can interact with professionals in
the industry and learn about the latest trends and developments in AI&ML.
• Soft skills such as communication, teamwork, and problem-solving are essential for
success.
5
DEPT OF CSE

ACTIVITIES PERFORMED
6
DEPT OF CSE
05-09-2022 to
10-09-2022
 Introduction to AI&ML and its modules ,brief description
about the AI&ML Architecture, Installation of Anaconda
Software and Learning about
12-09-2022 to
17-09-2022
 Learning python and how to use its libraries such as
 Numpy
 Pandas
 TensorFlow
19-09-2022 to
22-09-2022
 Learning about the ML algorithms such as:
 Linear regression
 Logistic regression
 Random forest algorithm

ACTIVITIES PERFORMED
7
DEPT OF CSE
23-09-2022 to
26-09-2022
 Collecting data on advertising and creating a csv file for the
sales prediction
27-09-2022 to
29-09-2022
 Writing the code and implementing it with the created csv file
of advertising data collected
03-10-2022 to
05-10-2022
 Testing of the code and getting the results of sales prediction in
different formats

GLIMPSE OF THE PROJECT
8
DEPT OF CSE

9
DEPT OF CSE

10
DEPT OF CSE

REFLECTION NOTES :
 Working at Inventeron company , I was thought how the general process of a project is
initially planned , developed and completed.
 Another valuable lesson I learnt during these weeks ,were the many different types of
work an engineer has to perform to improve certain aspects of the project.
 The study related to project aims to predict the sales on different domains .
 I was happy with the amount of things that I have learned and experienced in the
company .And my confidence grew rather quickly when we realized that we could
contribute to these processes.
11
DEPT OF CSE

CONCLUSION :
• Internship is a really good program and recommended to my fellow friends . It helps to
enhance and develop our skills ,abilities and knowledge.
• It was a good experience and memories as not only we have gained experience, but also
new friends and knowledge.
• The team made me very enthusiastic and active to take an any challenging work and
ensure its successful delivery.
• The company had a dedicated and qualified team of professionals who are well versed
and trained in the skills , made me to get the good understanding about project and their
real time scenarios.
• Overall I think the internship was a great experience that opened our eyes to some
situations and processes that I was unaware of.
12
DEPT OF CSE

13
DEPT OF CSE
THANK YOU

Sales Prediction Using Logistic Regression

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