VISVESVARAYA TECHNOLOGICAL UNIVERSITY
“Jnana Sangama”, Belagavi-590018, Karnataka
Internship-22MCA39 Report on
“ PYTHON [AI/ML] ”
Submitted in partial fulfillment of the requirements of the 3rd Semester in
MASTER OF COMPUTER APPLICATIONS
Submitted by
APOORVA
USN:4VZ22MC014
Internship carried out
at
Dotch Endeavours Pvt. Ltd.
5/A 2nd Main,8th cross
Saraswathipuram, Mysore-570029
Under the Guidance of
Dr. P.SANDHYA ANUSHA
Associate professor External Guide
Dept. of CSE (MCA Programme) Dotch Endeavours Pvt. Ltd.
VTU, PG Studies, Mysuru-570029 Saraswathipuram, Mysore-570009
.
VISVESVARAYA TECHNOLOGICAL UNIVERSITY
Dept. of CSE (MCA Programme)
Centre for PostGraduate Studies
Sathagalli, Mysuru – 570029
2023-24 Odd Semester
DECLARATION
I, APOORVA, student of 3rd semester, Dept. of CSE (MCA Programme),
Postgraduate Studies, VTU Mysuru, bearing 4VZ22MC014 hereby declare that the
Internship-22MCA39 entitled “Python[AI/ML]” has been carried out by me under the
guidance of Internal Guide, DR.P SANDHYA, Associate professor, Dept. of CSE (MCA
Programme), VTU, PG Studies, Mysuru-570029 and External Guide, Anusha, Docth
Endeavours Pvt Ltd. Mysore, submitted in partial fulfillment of the requirements for the 3rd
Sem of Master of Computer Applications as per the VTU Norms.
Place: Mysuru APOORVA
Date: USN: 4VZ22MC014
Signature
i
ವಿಶ್ವೇಶ್ವರಯ್ಯ ತ ಾಂತ್ರಿಕ ವಿಶ್ವವಿದ್ ಯಲಯ್
“ಜ್ಞ ನ ಸಾಂಗಮ”, ಬ್ಳಗ ವಿ-590018, ಕರ್ ಾಟಕ, ಭ ರತ.
Visvesvaraya Technological University
“Jnana Sangama”, Belagavi-590018, Karnataka, India.
Dept. of Computer Science & Engg.
(MCA Programme)
Centre for PostGraduate Studies, Mysuru Region
Sathagalli, Mysuru – 570029
INTERNSHIP CERTIFICATE
This is to certify that APOORVA bearing 4VZ22MC014 has
satisfactorily completed the Internship – 22MCA39 entitled Python [AI/ML] in
the academic year 2023-24 as prescribed by VTU for III Semester of Master of
Computer Applications. This is certified that all the corrections/suggestions
indicated during Internal Assessment have been incorporated in the report.
The Internship report has been approved as it satisfies the academic
requirements in respect of Internship work prescribed for the Master of
Computer Applications degree.
Signature of Guide Signature of Program Coordinator
Dr. P SANDHYA Dr. G F ALI AHAMMED
Associate professor Program Coordinator,
Dept. of CSE (MCA Programme) Dept. of CSE
VTU, PG Studies, Mysuru-570029. VTU, PG Studies, Mysuru-570029.
EXTERNAL VIVA
Name of the Examiners Signature with date
1……………………………………………………………………..……………………………..
2…………………………………………………………………...……………………………….
Internship Certificate
iii
Acknowledgements
I express my sincere thanks to Dr. G F ALI AHAMMED, Professor and Program Coordinator,
Dept. of CSE, VTU, PG Studies, Mysuru-570029, for the support and cooperation during the period
of this work.
It has been a great privilege for me to work under the guidance of, Dr. P SANDHYA associate
professor, Dept. of CSE (MCA Programme), VTU, PG Studies, Mysuru-570029. I express my
heartfelt gratitude to my guide ANUSHA. Words are insufficient to appreciate my teacher for his
whole hearted involvement, inspiration and constant support during the entire period of Internship
work. I especially thank him for the exemplary guidance, monitoring, constant encouragement,
understanding, care and empathy
I express my sincere thanks to Internship Coordinator, all the teaching & non-teaching staff of
the Dept. of CSE (MCA Programme), VTU, PG Studies, Mysuru-570029, for the support. And I
special thanks to Dotch Endeavours pvt.ltd. Mysore to support us for cooperation during the period
of this work.
Name: APOORVA
USN: 4VZ22MC014
iv
Abstract
This internship report encapsulates a six-week immersive journey into the realm of Artificial
Intelligence (AI) and Machine Learning (ML), with a primary focus on the utilization of the
Python programming language. The report outlines the hands-on experiences, challenges
(Tasks), and accomplishments encountered during the internship period, providing an in
depth analysis of the applications of Python in the dynamic field of AI and ML. The
internship commenced with a comprehensive review of foundational Python programming
concepts, ensuring a solid understanding of the language's syntax and features. Subsequently,
the report delves into the exploration of popular AI/ML libraries and frameworks, such as
TensorFlow, PyTorch, and scikit-learn, showcasing their practical applications in real-world
scenarios.
v
Table of Contents
TABLE OF CONTENTS
Inner title page………………………………………………………………………………………..……… i
Declaration …………………………………………………………………………………………….……… ii
Certificate ……………………………………………………………………………………………………… iii
Company Certificate ………………………………………………….…………………………………… iv
Acknowledgements ……………………………………………………………………….………..……… v
Abstract………………….……………………………………………………………………………………… vi
Table of contents………………………………………………………………………………….………… vii
List of figures……………………………………………………………………….………………………… viii
About the Company/Organization 1-3
1.1 Organization structure…………………………………………………………………….….. 1
1.2 Operation of the company.…………………………………………………………………... 2
About the Department 2-3
2.1 Work culture………………………………………………………………………………………. 2
2.2 Products……………………………………………………………………………………………... 3
Tasks Performed 4-19
3.1 First Week…………………………………………………………………………………………… 4
3.2 Second Week…….…………………………………………………………………………………. 6
3.3 Third Week………………………………………………………………………………………….. 8
3.4 Fourth Week………………………………………………………………………………………… 10
3.5 Fifth Week……………………………………………………………………………………………. 12
3.6 Sixth Week…………………………………………………………………………………………… 14
Reflection Notes 20-23
4.1 Technical Outcomes………………………………………………………………………………. 20
4.2 Non-Technical Outcomes……………………………………………………………………….. 21
4.3 Benefits of Internship…………………………………………………………………………….. 22
REFERENCES 23
vi
Table of Contents
LIST OF FIGURES
Figure 1.1 Company Logo……………………………………………………… 2
Figure 3.1 Anaconda Navigator………………………………………………… 6
Figure 3.2 Jupiter Notebook…………………………………………………….. 7
Figure 3.3 Basic Codes…………………………………………………………... 7
Figure 3.4 Modules………………………………………………………………. 9
Figure 3.5 Tuples………………………………………………………………… 9
Figure 3.6 File Handling…………………………………………………………. 10
Figure 3.7 NumPy………………………………………………………………... 11
Figure 3.8 Machine Learning……………………………………………………. 12
Figure 3.9 Segmentation…………………………………………………………. 12
Figure 3.10 Linear Regression…………………………………………………….. 13
Figure 3.11 Project allotment……………………………………………………... 14
Figure 3.12 Data Set………………………………………………………………. 15
Figure 3.13 Import libraries and Data Set ……...………………………………… 16
Figure 3.14 Exploratory data analysis….………………………………………..... 17
Figure 3.15 Column Transfer...…………………………………………………… 18
Figure 3.16 Range of car model………………………………………………….... 18
Figure 3.17 Nearest prediction of car purchase ………………………………... 19
vii
