GitHub - jigarparekh279/Machine_Learning_Python: This is a repository for self-learning. A mix of ML algoritms with theory and examples to understand what goes on "behind-the-scenes".

Repository navigation

Machine_Learning_Python

Public

About

This is a repository for self-learning. A mix of ML algoritms with theory and examples to understand what goes on "behind-the-scenes".

Activity

0 stars

1 watching

Name		Name	Last commit message	Last commit date
Data_Structures_and_Algorithms		Data_Structures_and_Algorithms
data		data
files		files
images		images
modules		modules
0_PythonNotes.ipynb		0_PythonNotes.ipynb
100_RandomPractice.ipynb		100_RandomPractice.ipynb
1_OOP_Python.ipynb		1_OOP_Python.ipynb
2_Numpy.ipynb		2_Numpy.ipynb
3_Matplotlib.ipynb		3_Matplotlib.ipynb
4_Pandas.ipynb		4_Pandas.ipynb
5_Seaborn.ipynb		5_Seaborn.ipynb
6_SQL.ipynb		6_SQL.ipynb
7_ML_00_FeatureEng_DataPrep.ipynb		7_ML_00_FeatureEng_DataPrep.ipynb
7_ML_01_LinReg_BiasVar_Regularization_CrossVal.ipynb		7_ML_01_LinReg_BiasVar_Regularization_CrossVal.ipynb
7_ML_02_LogisticRegression.ipynb		7_ML_02_LogisticRegression.ipynb
7_ML_03_KNN.ipynb		7_ML_03_KNN.ipynb
7_ML_04_SVM.ipynb		7_ML_04_SVM.ipynb
7_ML_05_TreeBasedMethods.ipynb		7_ML_05_TreeBasedMethods.ipynb
7_ML_06_NaiveBayes_NLP.ipynb		7_ML_06_NaiveBayes_NLP.ipynb
7_ML_07_KMeans.ipynb		7_ML_07_KMeans.ipynb
7_ML_08_Hierarchical.ipynb		7_ML_08_Hierarchical.ipynb
7_ML_09_DBSCAN.ipynb		7_ML_09_DBSCAN.ipynb
7_ML_10_PCA.ipynb		7_ML_10_PCA.ipynb
7_ML_99_Proj01_LinearRegression_AmesHousingPrice.ipynb		7_ML_99_Proj01_LinearRegression_AmesHousingPrice.ipynb
7_ML_99_Proj02_LogisticRegression_HeartDisease.ipynb		7_ML_99_Proj02_LogisticRegression_HeartDisease.ipynb
7_ML_99_Proj03_KNN_DetectingRockOrMine.ipynb		7_ML_99_Proj03_KNN_DetectingRockOrMine.ipynb
7_ML_99_Proj04_SVM_WineFraud.ipynb		7_ML_99_Proj04_SVM_WineFraud.ipynb
7_ML_99_Proj05_TreeBasedMethods_Telecom.ipynb		7_ML_99_Proj05_TreeBasedMethods_Telecom.ipynb
7_ML_99_Proj06_NaiveBayes_MovieReviews.ipynb		7_ML_99_Proj06_NaiveBayes_MovieReviews.ipynb
7_ML_99_Proj07_KMeans_CountryAnalysis.ipynb		7_ML_99_Proj07_KMeans_CountryAnalysis.ipynb
7_ML_99_Proj08_09_DBSCAN_WholesaleCustomers.ipynb		7_ML_99_Proj08_09_DBSCAN_WholesaleCustomers.ipynb
7_ML_99_Proj10_PCA_HandwrittenDigits.ipynb		7_ML_99_Proj10_PCA_HandwrittenDigits.ipynb
8_DL_00_a_Perceptrons_LogicOps.ipynb		8_DL_00_a_Perceptrons_LogicOps.ipynb
8_DL_00_b_Error_Function.ipynb		8_DL_00_b_Error_Function.ipynb
8_DL_00_c_NN_Architecture.ipynb		8_DL_00_c_NN_Architecture.ipynb
8_DL_00_d_NN_FromScratch.ipynb		8_DL_00_d_NN_FromScratch.ipynb
8_DL_01_PyTorch_for_DL_Basics.ipynb		8_DL_01_PyTorch_for_DL_Basics.ipynb
8_DL_02_TensorFlow_for_DL_Basics.ipynb		8_DL_02_TensorFlow_for_DL_Basics.ipynb
8_DL_03_TensorFlow_for_DL_TrainingNN.ipynb		8_DL_03_TensorFlow_for_DL_TrainingNN.ipynb
8_DL_04_TensorFlow_for_DL_CNN.ipynb		8_DL_04_TensorFlow_for_DL_CNN.ipynb
8_DL_05_TensorFlow_for_DL_RNN.ipynb		8_DL_05_TensorFlow_for_DL_RNN.ipynb
8_DL_06_TensorFlow_for_DL_Autoencoders.ipynb		8_DL_06_TensorFlow_for_DL_Autoencoders.ipynb
8_DL_07_TensorFlow_for_DL_UNet_TLwRF.ipynb		8_DL_07_TensorFlow_for_DL_UNet_TLwRF.ipynb
9_Deployement_WS_SageMaker.ipynb		9_Deployement_WS_SageMaker.ipynb

About

This is a repository for self-learning. A mix of ML algoritms with theory and examples to understand what goes on "behind-the-scenes".

Activity

0 stars

1 watching

0 forks

Report repository

Navigation Menu

Repository navigation

About

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

About

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages