Intro_to_ML

Notebooks for introduction to machine learning course

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
DATA		DATA
01. Python Basics.ipynb		01. Python Basics.ipynb
02. Data Preperation.ipynb		02. Data Preperation.ipynb
03. Linear Models.ipynb		03. Linear Models.ipynb
04. Decision Trees.ipynb		04. Decision Trees.ipynb
05. Nearest Neighbours.ipynb		05. Nearest Neighbours.ipynb
06. Unsupervised Learning.ipynb		06. Unsupervised Learning.ipynb
07. Metrics and Cross-validation.ipynb		07. Metrics and Cross-validation.ipynb
08. Support Vector Machines.ipynb		08. Support Vector Machines.ipynb
09. Artificial Neural Networks.ipynb		09. Artificial Neural Networks.ipynb
10. Evolutionary Algorithms.ipynb		10. Evolutionary Algorithms.ipynb
11. Probabilistic Classifiers.ipynb		11. Probabilistic Classifiers.ipynb
README.md		README.md
requirements.txt		requirements.txt

Provide feedback