This document is an internship report submitted by Tushar Anand for the Bachelor of Technology degree in Mechanical Engineering. The report covers topics related to machine learning including an introduction to machine learning concepts, data, Python, applications of machine learning, types of machine learning algorithms, data pre-processing, linear regression, dimensionality reduction, logistic regression, decision trees, and clustering models. The report also includes examples applying these machine learning techniques to sorting house data and plotting graphs.

1. MACHINE LEARNING
An Internship report submitted in partial fulfilment of the requirements for the award of degree of
BACHELOR OF TECHNOLOGY
in
MECHANICAL ENGINEERING
Submitted by
TUSHAR ANAND
(Reg. No. 19102128007)
Under the Supervision of
Prof. Shikandar Prasad
DEPARTMENT OF MECHANICAL ENGINEERING
B.P. MANDAL COLLEGE OF ENGINEERING MADHEPURA - 852128
MARCH 2022

3. Machine Learning
What? Why? and How?
3
1

4. DATA
4

5. INTRODUCTION OF PYTHON
5

6. APPLICATIONS OF MACHINE LEARNING
6

7. TYPES OF MACHINE LEARNING
7

8. DATA PRE-PROCESSING
8

9. LINEAR REGRESSION
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10. DIMENSIONALITY REDUCTION
10

11. LOGISTIC REGRESSION
11

12. DECISION TREE
12

13. CLUSTERING MODEL
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14. Machine Learning Assignment (Sorting House Data)
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15. To display Data Types
15

16. Plotting Graphs
16

17. Scatter Plot and outlier
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18. Transformed Data
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19. Conclusion
In this MACHINE LEARNING internship , I learned about:
◉ About machine learning
◉ Data
◉ Introduction to python
◉ Data Exploration and Pre-processing
◉ Linear Regression
◉ Introduction to Dimensionality Reduction
◉ Logistic regression
◉ Decision tree
◉ Clustering
19

20. 20
THANK YOU!
• Principal Arbind Kumar Amar
• Prof. Ajay Giri , HoD , Mechanical
• Prof. Shikandar Prasad
• All Mechanical Faculty