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Data Science and Machine Learning examples with data sets and explanations

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Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
.idea		.idea
classification		classification
clustering		clustering
data		data
deep_learning		deep_learning
dimensionality_reduction		dimensionality_reduction
docs		docs
model_selection		model_selection
natural_language_processing		natural_language_processing
regression		regression
reinforcement_learning		reinforcement_learning
README.md		README.md

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This repository contains examples of different Data Science concepts like:

Cleaning data

Cleaning data

Regression

Simple Linear Regression
Multiple Linear Regression
Polynomial Linear Regression
Support Vector Regression
Decision Tree Regression
Random Forest Regression

Classification

Logistic Regression
Naive Bayes Classification
Support Vector Classification
Decision Tree Classification
Random Forest Classification
K Nearest Neighbor Classification

Clustering

K Means Clustering
Hierarchical Clustering

Reinforcement Learning

Random selection
Upper Confidence Bound
Thompson Sampling

Deep Learning

Artificial Neural Network

Dimensionality reduction

Principal Component Analysis
Linear Discriminant Analysis
Kernel Principal Component Analysis

Model Selection

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>`

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Data Science and Machine Learning examples with data sets and explanations

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