README.md

MachineLearningAlgorithms

In this reprository i have only included some basic Machine Learning Algorithms like KNN, K-Means, Decision Trees, Random Forest(which i included in Decision Tree file as RF), PCA, Linear Regression and Logistic Regression

1. KNN(K-Nearest Neighbour)

2. K-Means

3. Decision Trees

4. Random Forest

5. PCA(Dimensionality reduction technique)

6. Linear Regression

7. Logistic Regression

8. Web Scrapping

For KNN i have used load digits datasets from sklearn and for every algorithm(KNN, K-Means, Decision Trees, Random Forest, PCA) in the files i also mentioned how to deal with it using SK-LEARN. For Decision Trees i have used titanic dataset and for PCA the popular MNIST dataset And for Linear Regression and Logistic regression I also included code using sklearn For Linear Regression i have also used Genetic Algorithm

In web scrapping i scraped datatau and wikipedia like websites.