GitHub - CodeeSam/Basics_of_ML_Algorithms: Introduction Supervised and Unsupervised Machine Learning Algorithms

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
10_Logistic Regression_Binary Classification.ipynb		10_Logistic Regression_Binary Classification.ipynb
11_HR Data Analysis.ipynb		11_HR Data Analysis.ipynb
12_Decision Tree Classifier.ipynb		12_Decision Tree Classifier.ipynb
13_Decision Tree Classifier-Sklearn Iris Data.ipynb		13_Decision Tree Classifier-Sklearn Iris Data.ipynb
14_Support Vector Machine_Iris Data.ipynb		14_Support Vector Machine_Iris Data.ipynb
15_Support Vector Machine_Digits Data.ipynb		15_Support Vector Machine_Digits Data.ipynb
16_Random Forest_Digits Data.ipynb		16_Random Forest_Digits Data.ipynb
17_Random Forest_Iris Data.ipynb		17_Random Forest_Iris Data.ipynb
18_K Fold Cross Validation_Digits Data.ipynb		18_K Fold Cross Validation_Digits Data.ipynb
19_K Fold Cross Validation_Iris Data.ipynb		19_K Fold Cross Validation_Iris Data.ipynb
1_Canada's GDP Prediction Model.ipynb		1_Canada's GDP Prediction Model.ipynb
20_K Means Clustering Algorithm.ipynb		20_K Means Clustering Algorithm.ipynb
21_K Means Clustering II.ipynb		21_K Means Clustering II.ipynb
22_Naive Bayes I.ipynb		22_Naive Bayes I.ipynb
23_Naive Bayes II.ipynb		23_Naive Bayes II.ipynb
24_Naive Bayes III.ipynb		24_Naive Bayes III.ipynb
25_Use of Grid and Randomized Search I.ipynb		25_Use of Grid and Randomized Search I.ipynb
26_Grid Search II.ipynb		26_Grid Search II.ipynb
27_Lasso(L1) and Ridge(L2).ipynb		27_Lasso(L1) and Ridge(L2).ipynb
28_K Nearest Neighbor.ipynb		28_K Nearest Neighbor.ipynb
29_KNN Digit Exercise.ipynb		29_KNN Digit Exercise.ipynb
2_Salary Prediction Model -- Multivariate Lin. Reg..ipynb		2_Salary Prediction Model -- Multivariate Lin. Reg..ipynb
30_Principal Component Analysis.ipynb		30_Principal Component Analysis.ipynb
31_PCA_Heart Model.ipynb		31_PCA_Heart Model.ipynb
32_Bagging .ipynb		32_Bagging .ipynb
33_Heart Model Using Bagging.ipynb		33_Heart Model Using Bagging.ipynb
3_House Price Multivariate Model.ipynb		3_House Price Multivariate Model.ipynb
4_Salary Prediction Model -- Multivariate Lin. Reg..ipynb		4_Salary Prediction Model -- Multivariate Lin. Reg..ipynb
5_Gradient Descent.ipynb		5_Gradient Descent.ipynb
6_Pickle and Joblib_Saving Your Model.ipynb		6_Pickle and Joblib_Saving Your Model.ipynb
7_One Hot Encoding_Dummy Variables.ipynb		7_One Hot Encoding_Dummy Variables.ipynb
8_Dummy Variables Exercise.ipynb		8_Dummy Variables Exercise.ipynb
9_Intro To Train-Test Split Model.ipynb		9_Intro To Train-Test Split Model.ipynb

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