Name		Name	Last commit message	Last commit date
Latest commit History 67 Commits
Birds Classification		Birds Classification
FRUIT CLASSIFICATION		FRUIT CLASSIFICATION
Feature Extraction		Feature Extraction
Feature Scaling		Feature Scaling
Feature Selection		Feature Selection
Supervised Learning		Supervised Learning
UnSupervised Learning		UnSupervised Learning
.gitignore		.gitignore
01-Preliminaries.ipynb		01-Preliminaries.ipynb
02.1-Machine-Learning-Intro.ipynb		02.1-Machine-Learning-Intro.ipynb
02.2-Basic-Principles.ipynb		02.2-Basic-Principles.ipynb
03.1-Classification-SVMs.ipynb		03.1-Classification-SVMs.ipynb
03.2-Regression-Forests.ipynb		03.2-Regression-Forests.ipynb
04.1-Dimensionality-PCA.ipynb		04.1-Dimensionality-PCA.ipynb
04.2-Clustering-KMeans.ipynb		04.2-Clustering-KMeans.ipynb
04.3-Density-GMM.ipynb		04.3-Density-GMM.ipynb
05 SGD.html		05 SGD.html
05-Validation.ipynb		05-Validation.ipynb
1. Linear Regression_advertisement.ipynb		1. Linear Regression_advertisement.ipynb
1_linear_regression.ipynb		1_linear_regression.ipynb
Classification_IRIS_KNN.ipynb		Classification_IRIS_KNN.ipynb
DataSet.png		DataSet.png
Dimensionality_Reduction.ipynb		Dimensionality_Reduction.ipynb
Exploratory data analysis (EDA) On IRIS.ipynb		Exploratory data analysis (EDA) On IRIS.ipynb
Image_classification_on_CIFAR_10.py		Image_classification_on_CIFAR_10.py
Introduction to Clustering .ipynb		Introduction to Clustering .ipynb
Introduction to Reinforcement Learning .ipynb		Introduction to Reinforcement Learning .ipynb
Introduction-to-K-means-Clustering-Example.ipynb		Introduction-to-K-means-Clustering-Example.ipynb
K-means.py		K-means.py
KMeans_Cluster_Algrothim .ipynb		KMeans_Cluster_Algrothim .ipynb
KMeans_Cluster_Iris.py		KMeans_Cluster_Iris.py
LICENSE		LICENSE
Lasso , Ridge Regression For Breast Cancer.ipynb		Lasso , Ridge Regression For Breast Cancer.ipynb
Lasso , Ridge and ElasticNet Regression.ipynb		Lasso , Ridge and ElasticNet Regression.ipynb
Linear_Regression.PNG		Linear_Regression.PNG
Linear_Regression_Methods.ipynb		Linear_Regression_Methods.ipynb
Linear_Regression_Practice.ipynb		Linear_Regression_Practice.ipynb
LogisticRegression_Vectorized_Implementation.ipynb		LogisticRegression_Vectorized_Implementation.ipynb
Mean_Shift.ipynb		Mean_Shift.ipynb
Multi-variate LASSO regression with CV.ipynb		Multi-variate LASSO regression with CV.ipynb
Naive Bayes for BBC NEWS.ipynb		Naive Bayes for BBC NEWS.ipynb
Polynomial_Regression.py		Polynomial_Regression.py
RBF.PNG		RBF.PNG
README.md		README.md
Random_Forest_Regression.ipynb		Random_Forest_Regression.ipynb
Random_forest.html		Random_forest.html
Regression		Regression
Regularized polynomial regression with linear and random sampling.ipynb		Regularized polynomial regression with linear and random sampling.ipynb
Reinforcement Learning.ipynb		Reinforcement Learning.ipynb
Reinforcement_Learning.ipynb		Reinforcement_Learning.ipynb
SVM_IRIS.py		SVM_IRIS.py
Simple_Linear_Regression.py		Simple_Linear_Regression.py
Supervised_Learning_Work_Flowchart.pdf		Supervised_Learning_Work_Flowchart.pdf
color_quantization.ipynb		color_quantization.ipynb
dbscan.ipynb		dbscan.ipynb
digits_agglomeration.ipynb		digits_agglomeration.ipynb
hierarchical clustering.ipynb		hierarchical clustering.ipynb
machine-learning-hierarchy.jpg		machine-learning-hierarchy.jpg
ordinary_least_squares_in_python.ipynb		ordinary_least_squares_in_python.ipynb
plot_cluster_comparison.ipynb		plot_cluster_comparison.ipynb
scikit-learn-k-means.ipynb		scikit-learn-k-means.ipynb

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