This repository contains examples of different Data Science concepts like:

Cleaning data

1. Cleaning data

Regression

1. Simple Linear Regression
2. Multiple Linear Regression
3. Polynomial Linear Regression
4. Support Vector Regression
5. Decision Tree Regression
6. Random Forest Regression

Classification

1. Logistic Regression
2. Naive Bayes Classification
3. Support Vector Classification
4. Decision Tree Classification
5. Random Forest Classification
6. K Nearest Neighbor Classification

Clustering

1. K Means Clustering
2. Hierarchical Clustering

Reinforcement Learning

1. Random selection
2. Upper Confidence Bound
3. Thompson Sampling

Deep Learning

1. Artificial Neural Network

Dimensionality reduction

1. Principal Component Analysis
2. Linear Discriminant Analysis
3. Kernel Principal Component Analysis

Model Selection

1. K Fold Cross Validation

In the data folder you can find all the csv files used for the different examples

To make the different examples run use python 3.7

install the different libraries using pip3 install <name_of_library>

run the exmple by executing python3 <name_of_file>