INTERNSHIP presentation on machiine learning

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1. Name : Garkal Rushikesh Rajendra Roll no : TA10 Prn number : 72030593E

2. Internship place Details Company name : YBI Foundation Organization : Online study center Personal observation : Online learning platform for student’s

3. Acceptance of the request via email for joining the Internship . We need to apply for internship by filling form using Google form document .

4. Starting date of the internship : 17 th January 2022. Duration : 2 month’s

5. Title : Machine Learning using Python

6. Index / Table of Content 1.Introduction 2. What is Machine learning 3.Supervised Machine Learning 4.Real World Readiness

7. Python data types used for machine learning are as follows : Numpy as np. Pandas as pd.

8. We need to import numpy as np and pandas as pd before solving the data for Machine Learning. As well as we imort csv file containing data on which analysis is going to occur.

9. Introduction Machine Learning is the study of computer algorithms and programs that automatically improve their performance , for a given set of tasks , with increase in their experience.

10. We need to use Google colab to do analysis coding. We need to know about Regression Regression : Regression is a supervised learning technique which helps in finding the correlation between variables and enables us to predict the continuous output variable .

11. TYPES: LINEAR REGRESSION: The simplest case of linear regression is to find a relation using linear model between input independent variable and an output dependent variable. y=mx + b Where, x=independent variable y=dependent variable m=slope of line b=y intercept Syntax: from sklearn.linear_model import LinearRegression LR= LinearRegression ()

12. LOGISTIC REGRESSION: It is used when output is categorical. It more like a classification. When output is like yes/no , true/false,0/1 . There is no need for a linear relationshipbetween input and output Syntax: from sklearn.linear_model import LogisticRegression LR= LogisticRegression ()

13. After learning the course and solving assignment we need to pass the exam which is “MCQ” type : “MCQ” will be based on python and basics of the Machine Learning

14. List of the Reference book : Google Youtube Local Author Text book

15. Link for project: https://colab.research.google.com/drive/1rN2eW48kHyCuTAlOy_K3TOKSz8zsZuVJ

16. THANKYOU !