mechine-learning-and-python-notes

This repo contains notes from a course I took on the Udemy platform.

The data (csv) used in this repository is obtained from the Kaggle platform.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
csv		csv
img		img
1-Lineer Regression.ipynb		1-Lineer Regression.ipynb
10-Navie Bayes Classification.ipynb		10-Navie Bayes Classification.ipynb
11-Classification.ipynb		11-Classification.ipynb
12-Clustering.ipynb		12-Clustering.ipynb
13-Natural Language Process - NLP.ipynb		13-Natural Language Process - NLP.ipynb
14-Principle Component Analysis (PCA).ipynb		14-Principle Component Analysis (PCA).ipynb
15-Model Selection.ipynb		15-Model Selection.ipynb
16-Recommendation-systems-tutorial.ipynb		16-Recommendation-systems-tutorial.ipynb
17-Tinanic-Machine-Lerning.ipynb		17-Tinanic-Machine-Lerning.ipynb
2-Multiple Linear Regression.ipynb		2-Multiple Linear Regression.ipynb
3-Polynominal Linear Regression.ipynb		3-Polynominal Linear Regression.ipynb
4-Desicion Tree Regression.ipynb		4-Desicion Tree Regression.ipynb
5-Random Forest Regression.ipynb		5-Random Forest Regression.ipynb
6-Evolation-Regression.ipynb		6-Evolation-Regression.ipynb
7-Logistic Regression.ipynb		7-Logistic Regression.ipynb
8-K-Nearest Neighbour(KNN).ipynb		8-K-Nearest Neighbour(KNN).ipynb
9-Support Vector Machine (SVM).ipynb		9-Support Vector Machine (SVM).ipynb
README.md		README.md

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