basic-data-science

Basic understanding and implementation of data science and machine learning using python.

This repo has only the practical implementations of the basic-data-science.

For the theory, check the basic-data-science handwritten guide.

You can get more learning resources from study-resource repo in my GitHub.

Welcome to this repo!

Name		Name	Last commit message	Last commit date
Latest commit History 96 Commits
01-introduction		01-introduction
02-statistics		02-statistics
03-machine-learning		03-machine-learning
04-supervised-learning-in-ml		04-supervised-learning-in-ml
05-classification-in-ml		05-classification-in-ml
06-non-linear-supervised-algorithm-in-ml		06-non-linear-supervised-algorithm-in-ml
07-unsupervised-learning-in-ml		07-unsupervised-learning-in-ml
08-ensemble-learning-in-ml		08-ensemble-learning-in-ml
09-deep-learning-and-ai		09-deep-learning-and-ai
10-reinforcement-learning		10-reinforcement-learning
assets		assets
resources		resources
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
generate-maths-csv.py		generate-maths-csv.py
generate-students-csv.py		generate-students-csv.py
generate-suscription-csv.py		generate-suscription-csv.py

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