Name		Name	Last commit message	Last commit date
Latest commit History 112 Commits
Activation_Functions.ipynb		Activation_Functions.ipynb
All_clustering_comparison.ipynb		All_clustering_comparison.ipynb
Analysis_of_classification.ipynb		Analysis_of_classification.ipynb
Analysis_of_classification_wine_data.ipynb		Analysis_of_classification_wine_data.ipynb
Basic_Image_operation_CNN.ipynb		Basic_Image_operation_CNN.ipynb
Bayesian_Linear_Regression.ipynb		Bayesian_Linear_Regression.ipynb
CNN.ipynb		CNN.ipynb
DBSCAN.ipynb		DBSCAN.ipynb
DIffrent_Distance.ipynb		DIffrent_Distance.ipynb
ESE_Question.ipynb		ESE_Question.ipynb
Elastic_net_Regression_.ipynb		Elastic_net_Regression_.ipynb
Fish.csv		Fish.csv
Hierarchical_Mall.ipynb		Hierarchical_Mall.ipynb
Hierarchical_Mall2.ipynb		Hierarchical_Mall2.ipynb
Hierarchical_clustering.ipynb		Hierarchical_clustering.ipynb
Hierarchical_clustering_Fish_Market.ipynb		Hierarchical_clustering_Fish_Market.ipynb
Industry_ML_work.ipynb		Industry_ML_work.ipynb
Jester_Dataset_SVD_KNN_.ipynb		Jester_Dataset_SVD_KNN_.ipynb
KMeans.csv		KMeans.csv
KMeans.ipynb		KMeans.ipynb
KNN.ipynb		KNN.ipynb
KNN_Fish_Market_.ipynb		KNN_Fish_Market_.ipynb
KNN_as_regression.ipynb		KNN_as_regression.ipynb
K_means_MAll_data.ipynb		K_means_MAll_data.ipynb
K_means_MAll_data2.ipynb		K_means_MAll_data2.ipynb
Kmeans_image_comparison_analysis_.ipynb		Kmeans_image_comparison_analysis_.ipynb
LHC1.ipynb		LHC1.ipynb
LHC2.ipynb		LHC2.ipynb
LHC3.ipynb		LHC3.ipynb
LSTM.ipynb		LSTM.ipynb
Lasso_Regression_.ipynb		Lasso_Regression_.ipynb
Linear_Regression.ipynb		Linear_Regression.ipynb
Linear_Regression2.ipynb		Linear_Regression2.ipynb
Linear_Regression3.ipynb		Linear_Regression3.ipynb
Linear_Regression_Analysys.ipynb		Linear_Regression_Analysys.ipynb
Linear_Regression_Fish_Market.ipynb		Linear_Regression_Fish_Market.ipynb
Linear_regression_Normal_Equation.ipynb		Linear_regression_Normal_Equation.ipynb
Logistic_regression.ipynb		Logistic_regression.ipynb
Logistic_regression_Fish_Market.ipynb		Logistic_regression_Fish_Market.ipynb
ML0101EN_Reg_Simple_Linear_Regression_Co2_py_v1.ipynb		ML0101EN_Reg_Simple_Linear_Regression_Co2_py_v1.ipynb
MagicBricks.csv		MagicBricks.csv
MovieLens_SVD_KNN.ipynb		MovieLens_SVD_KNN.ipynb
Multi_variable_2.ipynb		Multi_variable_2.ipynb
Multi_variable_Fish_Market.ipynb		Multi_variable_Fish_Market.ipynb
Multiple_varible_regression.ipynb		Multiple_varible_regression.ipynb
NLP_Basics.ipynb		NLP_Basics.ipynb
Naive_Bayes.ipynb		Naive_Bayes.ipynb
PCA_(principal_component_analysis).ipynb		PCA_(principal_component_analysis).ipynb
Quantile_regression_.ipynb		Quantile_regression_.ipynb
README.md		README.md
Ridge_Regression.ipynb		Ridge_Regression.ipynb
SVM(support_vector_machine).ipynb		SVM(support_vector_machine).ipynb
TOM.jpeg		TOM.jpeg
TextRank_keyword_extraction.ipynb		TextRank_keyword_extraction.ipynb
decision_tree.ipynb		decision_tree.ipynb
kmean.xlsx		kmean.xlsx
temps.csv		temps.csv
test.csv		test.csv
train.csv		train.csv
viral_pneumonia_prediction_using_kaggle.ipynb		viral_pneumonia_prediction_using_kaggle.ipynb

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Machine_Learning-

This repository is created for practical implementation of Machine learning Algorithms.course content of theory for this repository is mainly from Andrew NG.

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=> Supervised learning technique => Unsupervised learning technique All dataset along with images and codes are available in this repository.

#NOTE: All the codes have been done in Google Colab so make sure to install all libraries if you are doing in any IDEs.

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