Easy-Machine-Learning

Easy-Machine-Learning

I have collected all my hello world notebooks in many areas for any one to go through the basic concepts in machine and deep learning.

Artificial Intelligence

Description

Has over fifteen easy to understand notebooks on L1 vs L2 regression. Understanding basic algos like GBM, SVM, K means clusters, Naive Bayes, XGB and Random forest. How to use Word2vec for NLP. Dimensionality reduction like PCA and t-sne. Performance matrices like P-R curve and F-1 scores. Recomendation engines,time-series predictions using ARMA. Neural Nets concepts like CNN and RNN.

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Pankaj M. created project Easy-Machine-Learning

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Easy-Machine-Learning

Has over fifteen easy to understand notebooks on L1 vs L2 regression. Understanding basic algos like GBM, SVM, K means clusters, Naive Bayes, XGB and Random forest. How to use Word2vec for NLP. Dimensionality reduction like PCA and t-sne. Performance matrices like P-R curve and F-1 scores. Recomendation engines,time-series predictions using ARMA. Neural Nets concepts like CNN and RNN.

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