Applied Machine Learning

This repository contains machine learning notebooks from my website appliedprogramming.net. The examples and projects in the repo contain the explantory theory about the different algorithms used and the necessary preprocessing steps to clean, visualize and analyse the data. The datasets for most of the examples are taken from the UCI Machine Learning repository.

Deep Learning using TensorFlow
Introduction to TensorFlow
Transfer Learning for Classifying Animal images
Speech Recognition of Digits
One Shot Learning to Classify Omniglot data
How to use SyntaxNet

Machine Learning using Scikit-Learn
Introduction
Getting Started

Classification
Logistic Regression For Banknote Authentication
Support Vector Machines for Energy-Efficiency Classification
Detecting Faces wearing glasses with Support Vector Machines
Car Evaluation using Decision trees and Random Forests
Zoo Animal Classification using Naive Bayes
Classifying Ionosphere structure using K nearest neigbours
Advanced Scikit-Learn Classification Techniques

Regression
Predicting Electrical Energy Output with Regression Analysis
Air Quality Prediction
Advanced Scikit-Learn Regression Techniques

Clustering
Customer Segmentation For Market Analysis
Seeds Clustering
Applying K-Means for Image Quantization

Ensemble Learning
Ensemble Learning to Classify Patients with Heart Disease
OnlineNewsPopularity Classification using Ensembles
Classifying Default of Credit Card Clients

Examples
Adult Income Classification
Gesture Phase Detection
Student Grade Evaluation
Lenses Data Classification and Clustering
Liver Patient Classification
TicTacToe Move Classification
Connect4 Result Classification
Leaf Classification
Plants Clustering and Classification

Machine Learning using GraphLab Create library
Predicting House Prices using GraphLab Create
Predicting sentiment from product reviews
Building a song recommender
Document Retrieval from Wikipedia data

NOTE: Please feel free to send pull requests and help me improve the code base so that people who want to get into this fascinating field of ML and AI can get the best resources possible! :)

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
datasets		datasets
images		images
Adult Income Classification.ipynb		Adult Income Classification.ipynb
Advanced Scikit-Learn Classification Techniques.ipynb		Advanced Scikit-Learn Classification Techniques.ipynb
Advanced Scikit-Learn Regression Techniques.ipynb		Advanced Scikit-Learn Regression Techniques.ipynb
Air-Quality-Prediction.ipynb		Air-Quality-Prediction.ipynb
Analyzing Product Sentiment using GraphLab Create.ipynb		Analyzing Product Sentiment using GraphLab Create.ipynb
Applying K-Means for Image Quantization.ipynb		Applying K-Means for Image Quantization.ipynb
Car Evaluation using Decision trees and Random Forests.ipynb		Car Evaluation using Decision trees and Random Forests.ipynb
Classifiying Ionosphere structure using K nearest neigbours algorithm.ipynb		Classifiying Ionosphere structure using K nearest neigbours algorithm.ipynb
Classifying Default of Credit Card Clients.ipynb		Classifying Default of Credit Card Clients.ipynb
Connect-4 Classification.ipynb		Connect-4 Classification.ipynb
Customer Segmentation for Market Analysis.ipynb		Customer Segmentation for Market Analysis.ipynb
Detecting Faces wearing glasses with Support Vector Machines.ipynb		Detecting Faces wearing glasses with Support Vector Machines.ipynb
Document Retrieval using GraphLab Create.ipynb		Document Retrieval using GraphLab Create.ipynb
Ensemble Learning to Classify Patients with Heart Disease.ipynb		Ensemble Learning to Classify Patients with Heart Disease.ipynb
Gesture-Phase-Detection.ipynb		Gesture-Phase-Detection.ipynb
Getting-Started.ipynb		Getting-Started.ipynb
Indian-Liver-Patient-Classification.ipynb		Indian-Liver-Patient-Classification.ipynb
Introduction.ipynb		Introduction.ipynb
LICENSE.md		LICENSE.md
Leaf Classification.ipynb		Leaf Classification.ipynb
Lenses Data Classification.ipynb		Lenses Data Classification.ipynb
Logistic Regression for Banknote Authentication.ipynb		Logistic Regression for Banknote Authentication.ipynb
OnlineNewsPopularity Classification using Ensembles.ipynb		OnlineNewsPopularity Classification using Ensembles.ipynb
Plants Clustering.ipynb		Plants Clustering.ipynb
Predicting Electrical Energy Output with Regression Analysis.ipynb		Predicting Electrical Energy Output with Regression Analysis.ipynb
Predicting House Prices using GraphLab Create.ipynb		Predicting House Prices using GraphLab Create.ipynb
README.md		README.md
Recommender Systems using Affinity Analysis.ipynb		Recommender Systems using Affinity Analysis.ipynb
Seeds Clustering.ipynb		Seeds Clustering.ipynb
Song Recommender System using GraphLab Create.ipynb		Song Recommender System using GraphLab Create.ipynb
Student-Performance-Evaluation-Classification-Regression.ipynb		Student-Performance-Evaluation-Classification-Regression.ipynb
Support Vector Machines for Energy-Efficiency Classification.ipynb		Support Vector Machines for Energy-Efficiency Classification.ipynb
Tic-Tac-Toe Endgame Classification.ipynb		Tic-Tac-Toe Endgame Classification.ipynb
Topic Modelling using LDA.ipynb		Topic Modelling using LDA.ipynb
Zoo Animal Classification using Naive Bayes.ipynb		Zoo Animal Classification using Naive Bayes.ipynb
modified_mnist.ipynb		modified_mnist.ipynb
wine_neural_network.pdf		wine_neural_network.pdf
wine_neural_network.py		wine_neural_network.py

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