100 Days of ML Code Challenge

100 Days of Machine Learning Coding as proposed by Siraj Raval

<p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/ML_cheatsheet-01.png"> </p>

Machine Learning

Day 0 :- Gather all the tools for Data Science.

Today's Work :- Today I have installed all the tools and packages required for this challenge.

Day 1 :- Data Preprocessing

Check out the code from here.

Today's Work :- I have completed the most crucial Data Preprocessing step on the following dataset.

<p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Redme-images/Day%201.jpg"> </p>

Day 2 :- Simple Linear Regression

Check out the code from here.

Today's work:- I have applied Simple Linear Regression on the following dataset and obtained following graphs for training and test prediction.

<div float="left"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Simple-Linear-Regression/SalaryvsExperienceTraining.png" width="400" /> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Simple-Linear-Regression/SalaryvsExperienceTest.png" width="400" /> </div> <p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Redme-images/Day%202.jpg"> </p>

Day 3 :- Multiple Linear Regression

Check out the code from here.

Today's work:- I have applied Multiple Linear Regression on the following dataset and also applied Backward Elimintion method to get the best model.

<p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Redme-images/Day%203.jpg?raw=true"> </p>

Day 4 :- Polynomial Regression

Check out the code from here.

Today's work:- I have applied Polynomial Regression on the following dataset to predict weather a employee is telling truth or bluff about his salary and got the following graphs for Linear and Polynomial Regression.

<div float="left"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Polynomial-Regression/Truth%20or%20Bluff(Linear%20Regression).png" width="416" /> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Polynomial-Regression/Truth%20or%20Bluff(Polynomial%20Regression).png" width="400" /> </div>

Day 5 :- Support Vector Regression(SVR)

Check out the code from here.

Today's work:- I have applied Support Vector Regression(SVR) on the following dataset to predict weather a employee is telling truth or bluff about his salary and got the following graphs for Linear and Polynomial Regression.

<p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Support-Vector-Regression(SVR)/Truth%20or%20Bluff(SVR).png"> </p>

Day 6 :- Decision Tree Regression

Check out the code from here.

Today's work:- I have applied Decision Regression on the following dataset to predict weather a employee is telling truth or bluff about his salary and got the following graph for Decision Tree Regression and and also ploted the Tree.

<p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Decision-Tree-Regression/Truth%20or%20Bluff(Decision%20Tree%20Reqression).png"/> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Decision-Tree-Regression/Truth%20or%20Bluff(Decision%20Tree).png" width="568" /> </p>

Day 7 :- Random Forest Regression

Check out the code from here.

Today's work:- I have applied Random Forest Regression on the following dataset to predict weather a employee is telling truth or bluff about his salary and got the following graphs for Decision Tree 10, 100 and 500 Decision Trees.

<div float="left"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Random-Forest-Regression/Truth%20of%20Bluff(Random%20Forest%20Regresstion)%2010.png" width="400" /> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Random-Forest-Regression/Truth%20of%20Bluff(Random%20Forest%20Regresstion)%20100.png" width="400" /> </div> <p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Regression/Random-Forest-Regression/Truth%20of%20Bluff(Random%20Forest%20Regresstion)%20500.png"/> </p>

Day 8 :- R square and Estimated R square

Today's work:- I have learnt about the R square and Estimated R square and also find it on the the following dataset by various studied algorithms till now. I also studied about the pros and cons of various algorithms which I have studied till now.

Project :- Board Game Review Predictions

Day 9 to 11 :-

Check out the Analysis from here

Project's work:- I have done a project for board game review prediction using regression on the following dataset with all knowledge of regresssion and data preprocessing obtained till now. I also learnt and used new techniques of regression in this project.

Day 12 :- Logistic Regression

Check out the code from here

Today's work:- I have applied Logistic Regression on the following dataset to predict weather a person buy's a SUV car for a company and obtained the following graphs for training and test data sets.

<div float="left"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Classification/Logistic_Regression/Logistic%20Regression%20(Training%20Set).png" width="400" /> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Classification/Logistic_Regression/Logistic%20Regression%20(Test%20Set).png" width="400" /> </div> <p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Redme-images/Day%204.jpg"/> </p>

Day 13 :- K Nearest Neighbours(K-NN)

Check out the code from here

Today's work:- I have applied K-NN Classifier on the following dataset to predict weather a person buy's a SUV car for a company and obtained the following graphs for training and test data sets.

<div float="left"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Classification/K-Nearest_Neighbors(K-NN)/K-NN(Training%20Set).png" width="400" /> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Classification/K-Nearest_Neighbors(K-NN)/K-NN(Training%20Set).png" width="400" /> </div> <p align="center"> <img src="https://github.com/Shritesh99/100DaysofMLCodeChallenge/blob/master/Redme-images/Day%207.jpg"/> </p>

Day 14 :- Support Vector Machine(SVM)

Check out the code from here

Today's work:- I have applied Linear Support Vector Machine(SVM) on the following dataset to predict weather a person buy's a SUV car for a company and obtained the following graphs for training and test data sets.