GitHub - macbhaldar/Python-Guide: This repository contains the codes for the Python tutorials

Name		Name	Last commit message	Last commit date
Association-Rules		Association-Rules
Classifier-Models		Classifier-Models
Data-Visualization		Data-Visualization
Decision-Tree		Decision-Tree
Logistic-Regression		Logistic-Regression
ML_Flask		ML_Flask
ML_Streamlit		ML_Streamlit
Naive-Bays		Naive-Bays
PCA		PCA
PyTorch		PyTorch
Random-Forest		Random-Forest
Regression		Regression
SVM		SVM
Scikit-Learn-Guide		Scikit-Learn-Guide
Sign Language MNIST		Sign Language MNIST
Simple-Linear-Regression		Simple-Linear-Regression
Tensorflow		Tensorflow
Text-Mining-and-NLP		Text-Mining-and-NLP
images		images
AdaBoost_model_BrCan.py		AdaBoost_model_BrCan.py
Decision Tree.ipynb		Decision Tree.ipynb
Gaussian-Mixture-Models.ipynb		Gaussian-Mixture-Models.ipynb
Handling Missing Data.ipynb		Handling Missing Data.ipynb
Hierarchical Indexing.ipynb		Hierarchical Indexing.ipynb
Image-Compression_K-means.py		Image-Compression_K-means.py
K-Means-Clustering.ipynb		K-Means-Clustering.ipynb
K-Means.py		K-Means.py
Kernel-Density-Estimation.ipynb		Kernel-Density-Estimation.ipynb
LDA.py		LDA.py
Lasso_Regression.py		Lasso_Regression.py
LazyPredict_modelselction.py		LazyPredict_modelselction.py
Linear-Discriminant-Analysis_LDA.py		Linear-Discriminant-Analysis_LDA.py
Linear-Regression.ipynb		Linear-Regression.ipynb
Manifold-Learning.ipynb		Manifold-Learning.ipynb
Market_Quotes_to_Training_Targets.ipynb		Market_Quotes_to_Training_Targets.ipynb
Naive-Bayes-Classifiers.ipynb		Naive-Bayes-Classifiers.ipynb
New_York_City_building_energy_data.ipynb		New_York_City_building_energy_data.ipynb
Overfitting_Random_Fourier_Features_Universal_Approximation_Property.ipynb		Overfitting_Random_Fourier_Features_Universal_Approximation_Property.ipynb
Principal-Component-Analysis.ipynb		Principal-Component-Analysis.ipynb
Quadratic-Discriminant-Analysis.py		Quadratic-Discriminant-Analysis.py
Random-Forests.ipynb		Random-Forests.ipynb
Time-Series.ipynb		Time-Series.ipynb
choropleth-map-usa-plotly.py		choropleth-map-usa-plotly.py
crop_merge_photos.py		crop_merge_photos.py
esakal.ipynb		esakal.ipynb
multivariate_adaptive_regression_splines.py		multivariate_adaptive_regression_splines.py
perceptron.py		perceptron.py
text-scraping_pdf.py		text-scraping_pdf.py
urls-to-excel_py.py		urls-to-excel_py.py

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This repository contains the codes for the Python tutorials

classification data-science data-visualization jupyter-notebook machine-learning naive-bayes nlp pca-analysis python random-forest regression

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