Birds Classfication.ipynb
02.1-Machine-Learning-Intro.ipynb
02.2-Basic-Principles.ipynb
03.1-Classification-SVMs.ipynb
03.2-Regression-Forests.ipynb
04.1-Dimensionality-PCA.ipynb
04.2-Clustering-KMeans.ipynb
1. Linear Regression_advertisement.ipynb
1_linear_regression.ipynb
Classification_IRIS_KNN.ipynb
Dimensionality_Reduction.ipynb
Exploratory data analysis (EDA) On IRIS.ipynb
Image_classification_on_CIFAR_10.py
Introduction to Clustering .ipynb
Introduction to Reinforcement Learning .ipynb
Introduction-to-K-means-Clustering-Example.ipynb
KMeans_Cluster_Algrothim .ipynb
Lasso , Ridge Regression For Breast Cancer.ipynb
Lasso , Ridge and ElasticNet Regression.ipynb
Linear_Regression_Methods.ipynb
Linear_Regression_Practice.ipynb
LogisticRegression_Vectorized_Implementation.ipynb
Multi-variate LASSO regression with CV.ipynb
Naive Bayes for BBC NEWS.ipynb
Random_Forest_Regression.ipynb
Regularized polynomial regression with linear and random sampling.ipynb
Reinforcement Learning.ipynb
Reinforcement_Learning.ipynb
Simple_Linear_Regression.py
Supervised_Learning_Work_Flowchart.pdf
digits_agglomeration.ipynb
hierarchical clustering.ipynb
machine-learning-hierarchy.jpg
ordinary_least_squares_in_python.ipynb
plot_cluster_comparison.ipynb
scikit-learn-k-means.ipynb
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