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machine-learning

notebooks with machine learning examples

Scikit learn Keras Tensorflow Spark ML

Name		Name	Last commit message	Last commit date
Latest commit History 930 Commits
Flask-ML		Flask-ML
RL		RL
Text2Speech		Text2Speech
demos		demos
opencv		opencv
.gitignore		.gitignore
Appendix A - Activation Functions.ipynb		Appendix A - Activation Functions.ipynb
Appendix B - Working with database.ipynb		Appendix B - Working with database.ipynb
Bank - Marketing Campaign.ipynb		Bank - Marketing Campaign.ipynb
Bird Tracking (EDA).ipynb		Bird Tracking (EDA).ipynb
COVID-19.ipynb		COVID-19.ipynb
LICENSE		LICENSE
Linear Algebra.ipynb		Linear Algebra.ipynb
Pandas DataFrame.ipynb		Pandas DataFrame.ipynb
Pandas Profile Report.ipynb		Pandas Profile Report.ipynb
README.md		README.md
Scikit - 01 Data Preprocessing.ipynb		Scikit - 01 Data Preprocessing.ipynb
Scikit - 02 Visualization.ipynb		Scikit - 02 Visualization.ipynb
Scikit - 03 Linear Regression.ipynb		Scikit - 03 Linear Regression.ipynb
Scikit - 04 Linear Regression - Kaggle Housing.ipynb		Scikit - 04 Linear Regression - Kaggle Housing.ipynb
Scikit - 05 Classification.ipynb		Scikit - 05 Classification.ipynb
Scikit - 06 Text Processing.ipynb		Scikit - 06 Text Processing.ipynb
Scikit - 07 Dimensionality Reduction.ipynb		Scikit - 07 Dimensionality Reduction.ipynb
Scikit - 08 Clustering.ipynb		Scikit - 08 Clustering.ipynb
Scikit - 09 Clustering on Medical Image.ipynb		Scikit - 09 Clustering on Medical Image.ipynb
Scikit - 10 Image Classification (MNIST dataset).ipynb		Scikit - 10 Image Classification (MNIST dataset).ipynb
Scikit - 12 Neural Network using Numpy.ipynb		Scikit - 12 Neural Network using Numpy.ipynb
Scikit - 15 Learning Curve and Tuning .ipynb		Scikit - 15 Learning Curve and Tuning .ipynb
Scikit - 16 Time Series - PerCapitaGDP.ipynb		Scikit - 16 Time Series - PerCapitaGDP.ipynb
Scikit - 17 Classification non linear decision boundary.ipynb		Scikit - 17 Classification non linear decision boundary.ipynb
Scikit - 18 KDD 1999 (Anamoly detection).ipynb		Scikit - 18 KDD 1999 (Anamoly detection).ipynb
Scikit - 19 Markov Chain.ipynb		Scikit - 19 Markov Chain.ipynb
Scikit - 20 Kaggle House Data Preprocessing.ipynb		Scikit - 20 Kaggle House Data Preprocessing.ipynb
Scikit - 21 Kaggle House price prediction (regression).ipynb		Scikit - 21 Kaggle House price prediction (regression).ipynb
Scikit - 22 Regression - Istanbul Stock Market.ipynb		Scikit - 22 Regression - Istanbul Stock Market.ipynb
Scikit - 23 PCA (kdd cup 1999).ipynb		Scikit - 23 PCA (kdd cup 1999).ipynb
Scikit - 24 Text Analytics - StumbleUpon Evergreen.ipynb		Scikit - 24 Text Analytics - StumbleUpon Evergreen.ipynb
Scikit - 25 tSNE Clustering (MNIST dataset).ipynb		Scikit - 25 tSNE Clustering (MNIST dataset).ipynb
Scikit - 26 Clustering SNS Data.ipynb		Scikit - 26 Clustering SNS Data.ipynb
Scikit - 27 Sklearn Pipeline.ipynb		Scikit - 27 Sklearn Pipeline.ipynb
Scikit - 28 Clustering - Online Retail Sales Data.ipynb		Scikit - 28 Clustering - Online Retail Sales Data.ipynb
Scikit - 29 Build End to End pipeline.ipynb		Scikit - 29 Build End to End pipeline.ipynb
Scikit - 30 Ensemble, Bagging, Pasting, Boosting.ipynb		Scikit - 30 Ensemble, Bagging, Pasting, Boosting.ipynb
Scikit - 31 Credit Card Fraud Classification Problem.ipynb		Scikit - 31 Credit Card Fraud Classification Problem.ipynb
Spacy.ipynb		Spacy.ipynb
SparkML - 01 Regression.ipynb		SparkML - 01 Regression.ipynb
SparkML - 02 Credit Default.ipynb		SparkML - 02 Credit Default.ipynb
SparkML - 03 Image Classification (MNIST).ipynb		SparkML - 03 Image Classification (MNIST).ipynb
SparkML - 04 Text_Analysis.ipynb		SparkML - 04 Text_Analysis.ipynb
SparkML - 05 Credit card Fraud.ipynb		SparkML - 05 Credit card Fraud.ipynb
SparkML - 06 Movie Recommendation.ipynb		SparkML - 06 Movie Recommendation.ipynb
SparkML - 07 Click Prediction (Outbrain dataset).ipynb		SparkML - 07 Click Prediction (Outbrain dataset).ipynb
Telecomm Churn Analysis Using XGBoost.ipynb		Telecomm Churn Analysis Using XGBoost.ipynb
Time Series - Stock Price Forecast using ARIMA.ipynb		Time Series - Stock Price Forecast using ARIMA.ipynb
Utils.py		Utils.py
compare.py		compare.py
yoochoose- Retail Prediction. 2015.ipynb		yoochoose- Retail Prediction. 2015.ipynb

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