ML_basics

This repository contains the implementation of some basic Machine learning algorithms. It was created for my facilitation of workshops.

Contents:

Unsupervised learning basic approaches
Clustering (K-means and hierarchical)
Very similar to it, a notebook with PCA and t-sne (with some extensions on the PCA)
neural nets with keras
unsupervised learning example using ecommerce data set (topic modelling)
NLP basics

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Clustering.ipynb		Clustering.ipynb
Extra_func_lambda_exp.ipynb		Extra_func_lambda_exp.ipynb
IMDB_sample.csv		IMDB_sample.csv
NLP_basics.ipynb		NLP_basics.ipynb
PCA.ipynb		PCA.ipynb
README.md		README.md
Unsupervised learning basic examples.ipynb		Unsupervised learning basic examples.ipynb
neural nets with keras.ipynb		neural nets with keras.ipynb
unsupervised learning on product description ecommerce data.ipynb		unsupervised learning on product description ecommerce data.ipynb

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