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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
 
 
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
 
 

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Applied Machine Learning

This repository contains machine learning notebooks from my website appliedprogramming.net. The examples 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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Applied Machine Learning demos from my site: http://www.appliedprogramming.net/machine-learning/home.html

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