GitHub - MohdRasmil7/ML-notebooks: This repository contains Jupyter notebooks demonstrating machine learning exercises using both supervised classification and unsupervised algorithms. Each notebook offers a hands-on approach to understanding and applying ML techniques to real-world datasets, providing valuable insights and practical skills for data analysis and predictive modeling.

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This repository contains Jupyter notebooks demonstrating machine learning exercises using both supervised classification and unsupervised algorithms. Each notebook offers a hands-on approach to understanding and applying ML techniques to real-world datasets, providing valuable insights and practical skills for data analysis and predictive modeling.

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Association rules		Association rules
Basic statistics - 1		Basic statistics - 1
Basic statistics - 2		Basic statistics - 2
Decision tree		Decision tree
Forecasting		Forecasting
Hypothesis testing		Hypothesis testing
KNN		KNN
Linear regression single		Linear regression single
Logistic regression		Logistic regression
Naive bayes		Naive bayes
Neural networks		Neural networks
PCA		PCA
Random forests		Random forests
Recommendation Systems		Recommendation Systems
SVM		SVM
Text mining		Text mining
clustering		clustering
linear regression multi variable		linear regression multi variable
Test_face_detection.ipynb		Test_face_detection.ipynb