Machine Learning Exercises

These are some practice Machine Learning exercises that I've done while watching the Machine Learning course of Codebasics.

During the course I've learned in advance about Machine Learning algorithms using sklearn, dataframe manipulation using pandas, and more.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
data		data
02_linear_regression.ipynb		02_linear_regression.ipynb
03_linear_regression_multivariate.ipynb		03_linear_regression_multivariate.ipynb
04_gradient_descent.ipynb		04_gradient_descent.ipynb
06_one_hot_encoding.ipynb		06_one_hot_encoding.ipynb
08_logistic_regression.ipynb		08_logistic_regression.ipynb
09_decision_tree.ipynb		09_decision_tree.ipynb
10_support_vector_machine.ipynb		10_support_vector_machine.ipynb
11_random_forest.ipynb		11_random_forest.ipynb
12_kfold_cross_validation.ipynb		12_kfold_cross_validation.ipynb
13_kmeans_clustering.ipynb		13_kmeans_clustering.ipynb
15_naive_bayes.ipynb		15_naive_bayes.ipynb
16_hyperparameter_tuning_gridsearch.ipynb		16_hyperparameter_tuning_gridsearch.ipynb
README.md		README.md
requirements.txt		requirements.txt

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