GitHub - ryma-tharouma/Formation_IA: A collection of hands-on solutions for checkpoints in a machine learning course. Covers core ML concepts such as data preprocessing, model training, and evaluation using Scikit-learn, with practical implementation on various datasets. · GitHub

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.ipynb_checkpoints		.ipynb_checkpoints
checkpoint_6_decisionTrees		checkpoint_6_decisionTrees
CC GENERAL.csv		CC GENERAL.csv
chackpoint2_Solution_version_fr.ipynb		chackpoint2_Solution_version_fr.ipynb
checkpoint3.md		checkpoint3.md
checkpoint_1_Solution.ipynb		checkpoint_1_Solution.ipynb
checkpoint_2_conclusions.odt		checkpoint_2_conclusions.odt
checkpoint_2_solution.ipynb		checkpoint_2_solution.ipynb
checkpoint_3_solution.ipynb		checkpoint_3_solution.ipynb
checkpoint_4_solution.ipynb		checkpoint_4_solution.ipynb
checkpoint_5_solution.ipynb		checkpoint_5_solution.ipynb
checkpoint_6_solution.ipynb		checkpoint_6_solution.ipynb
checkpoint_7_solution.ipynb		checkpoint_7_solution.ipynb
iris.data		iris.data
kc_house_data.csv		kc_house_data.csv
titanic-passengers.csv		titanic-passengers.csv

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A collection of hands-on solutions for checkpoints in a machine learning course. Covers core ML concepts such as data preprocessing, model training, and evaluation using Scikit-learn, with practical implementation on various datasets.

data-preprocessing-and-cleaning data-visualization machine-learning

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