Name	Name	Last commit message	Last commit date
Latest commit �? History 213 Commits
data	data	�?	�?
movielens_data	movielens_data	�?	�?
03_Numpy_Notebook.ipynb	03_Numpy_Notebook.ipynb	�?	�?
05a_Matplotlib_Notebook.ipynb	05a_Matplotlib_Notebook.ipynb	�?	�?
05b_Exploring Indicator's Across Countries.ipynb	05b_Exploring Indicator's Across Countries.ipynb	�?	�?
05c_Folium_Notebook.ipynb	05c_Folium_Notebook.ipynb	�?	�?
20070103-^NSEI.csv	20070103-^NSEI.csv	�?	�?
A Simple Classification.ipynb	A Simple Classification.ipynb	�?	�?
Ad Demand Forecast Avito.ipynb	Ad Demand Forecast Avito.ipynb	�?	�?
Airbnb Listing Toronto.ipynb	Airbnb Listing Toronto.ipynb	�?	�?
Airbnb New User Bookings.ipynb	Airbnb New User Bookings.ipynb	�?	�?
Airbnb New User Bookings_2.ipynb	Airbnb New User Bookings_2.ipynb	�?	�?
Anes_2019.ipynb	Anes_2019.ipynb	�?	�?
Anes_2020.ipynb	Anes_2020.ipynb	�?	�?
Anomaly_Detection_for_Dummies.ipynb	Anomaly_Detection_for_Dummies.ipynb	�?	�?
Applying 10 Time Series Forecasting models with O2 data.ipynb	Applying 10 Time Series Forecasting models with O2 data.ipynb	�?	�?
Articles Rec System Implicit.ipynb	Articles Rec System Implicit.ipynb	�?	�?
Autoencoder for Customer Churn.ipynb	Autoencoder for Customer Churn.ipynb	�?	�?
BOW_TFIDF_Xgboost_update.ipynb	BOW_TFIDF_Xgboost_update.ipynb	�?	�?
BPR_Music_RecSys.ipynb	BPR_Music_RecSys.ipynb	�?	�?
BPR_movie_RecSys_TF.ipynb	BPR_movie_RecSys_TF.ipynb	�?	�?
Bayesian Learn to Rank Implicit RecSys.ipynb	Bayesian Learn to Rank Implicit RecSys.ipynb	�?	�?
Bayesian Logistic Regression_bank marketing.ipynb	Bayesian Logistic Regression_bank marketing.ipynb	�?	�?
Bayesian Modeling Customer Support Response time.ipynb	Bayesian Modeling Customer Support Response time.ipynb	�?	�?
Bayesian Statistics Python_PyMC3_ArviZ.ipynb	Bayesian Statistics Python_PyMC3_ArviZ.ipynb	�?	�?
Bayesian price Mercari with PyStan.ipynb	Bayesian price Mercari with PyStan.ipynb	�?	�?
Build Recommender System in an Hour - Part 2.ipynb	Build Recommender System in an Hour - Part 2.ipynb	�?	�?
Building Recommender System with Surprise.ipynb	Building Recommender System with Surprise.ipynb	�?	�?
CLV_Hopper.ipynb	CLV_Hopper.ipynb	�?	�?
CLV_Non_Contractual.ipynb	CLV_Non_Contractual.ipynb	�?	�?
CLV_Online_Retail.ipynb	CLV_Online_Retail.ipynb	�?	�?
Calculating distance from POI to airports .ipynb	Calculating distance from POI to airports .ipynb	�?	�?
Classic LogReg model_update.ipynb	Classic LogReg model_update.ipynb	�?	�?
Classifier Visualization.ipynb	Classifier Visualization.ipynb	�?	�?
Click-Through Rate Prediction.ipynb	Click-Through Rate Prediction.ipynb	�?	�?
Clustering Hotels with DBSCAN, k-means & Douglas-Peucker.ipynb	Clustering Hotels with DBSCAN, k-means & Douglas-Peucker.ipynb	�?	�?
Clustering Loyalty members.ipynb	Clustering Loyalty members.ipynb	�?	�?
Collaborative Filtering Model with TensorFlow.ipynb	Collaborative Filtering Model with TensorFlow.ipynb	�?	�?
Collaborative Filtering RecSys with Implicit Data_Hotel booking.ipynb	Collaborative Filtering RecSys with Implicit Data_Hotel booking.ipynb	�?	�?
Compare Vaccines Effectiveness.ipynb	Compare Vaccines Effectiveness.ipynb	�?	�?
Consumer_complaints.ipynb	Consumer_complaints.ipynb	�?	�?
Customer_Segmentation_Online_Retail.ipynb	Customer_Segmentation_Online_Retail.ipynb	�?	�?
Customer_Segmentation_Whosale.ipynb	Customer_Segmentation_Whosale.ipynb	�?	�?
Ease_of_Business.ipynb	Ease_of_Business.ipynb	�?	�?
Employee_Turnover.ipynb	Employee_Turnover.ipynb	�?	�?
European Soccer Regression Analysis using scikit-learn.ipynb	European Soccer Regression Analysis using scikit-learn.ipynb	�?	�?
Evaluation.ipynb	Evaluation.ipynb	�?	�?
FSA Matcher.ipynb	FSA Matcher.ipynb	�?	�?
G7 Countries Real Residential Property Prices.ipynb	G7 Countries Real Residential Property Prices.ipynb	�?	�?
Granger Causality Test.ipynb	Granger Causality Test.ipynb	�?	�?
H2O Higgs Boson.ipynb	H2O Higgs Boson.ipynb	�?	�?
HR.csv	HR.csv	�?	�?
Hotel Optimize Click-through.ipynb	Hotel Optimize Click-through.ipynb	�?	�?
Hotel recommendation.ipynb	Hotel recommendation.ipynb	�?	�?
Introduction to Data Science in Python - Soccer Data Analysis.ipynb	Introduction to Data Science in Python - Soccer Data Analysis.ipynb	�?	�?
Introduction to Pandas.ipynb	Introduction to Pandas.ipynb	�?	�?
LDA.ipynb	LDA.ipynb	�?	�?
LSTM Time Series Power Consumption.ipynb	LSTM Time Series Power Consumption.ipynb	�?	�?
Logistic Regression balanced.ipynb	Logistic Regression balanced.ipynb	�?	�?
Logistic Regression in Python - Step by Step.ipynb	Logistic Regression in Python - Step by Step.ipynb	�?	�?
Machine Learning for Diabetes.ipynb	Machine Learning for Diabetes.ipynb	�?	�?
Mercari Price Suggestion Lightgbm.ipynb	Mercari Price Suggestion Lightgbm.ipynb	�?	�?
Modeling House Price with Regularized Linear Model & Xgboost.ipynb	Modeling House Price with Regularized Linear Model & Xgboost.ipynb	�?	�?
Movielens Recommender Metrics.ipynb	Movielens Recommender Metrics.ipynb	�?	�?
Multi label text classification.ipynb	Multi label text classification.ipynb	�?	�?
Multilevel regression with post-stratification_election2020.ipynb	Multilevel regression with post-stratification_election2020.ipynb	�?	�?
Multiple Linear Regression.ipynb	Multiple Linear Regression.ipynb	�?	�?
NYC taxi fare.ipynb	NYC taxi fare.ipynb	�?	�?
Natural Language Processing of Movie Reviews using nltk .ipynb	Natural Language Processing of Movie Reviews using nltk .ipynb	�?	�?
Ocean Sea Breeze EDA and Time Series forecast for Occupancy.ipynb	Ocean Sea Breeze EDA and Time Series forecast for Occupancy.ipynb	�?	�?
Ocean Two EDA and time series forecast 2016-01-01 to 2019-08-04.ipynb	Ocean Two EDA and time series forecast 2016-01-01 to 2019-08-04.ipynb	�?	�?
Ocean Two Time series Gaussian Process Regression.ipynb	Ocean Two Time series Gaussian Process Regression.ipynb	�?	�?
Outbreaks_Headlines.ipynb	Outbreaks_Headlines.ipynb	�?	�?
PC Purchasing Profile.ipynb	PC Purchasing Profile.ipynb	�?	�?
Points Model Exercise Part 3 Member behavioral segments_Susan Li.ipynb	Points Model Exercise Part 3 Member behavioral segments_Susan Li.ipynb	�?	�?
Points Modelling Exercise Part 1 Email Targeting List_Susan Li.ipynb	Points Modelling Exercise Part 1 Email Targeting List_Susan Li.ipynb	�?	�?
Polo Towers OCC & ADR & Rental RevPar & Time Series.ipynb	Polo Towers OCC & ADR & Rental RevPar & Time Series.ipynb	�?	�?
Polo Towers Prophet .ipynb	Polo Towers Prophet .ipynb	�?	�?
Practical Statistics House Python_update.ipynb	Practical Statistics House Python_update.ipynb	�?	�?
Predict hotel booking.ipynb	Predict hotel booking.ipynb	�?	�?
Predict_Bay_Area_Home_Price.ipynb	Predict_Bay_Area_Home_Price.ipynb	�?	�?
Price Elasticity of Demand.ipynb	Price Elasticity of Demand.ipynb	�?	�?
Promotional Time Series .ipynb	Promotional Time Series .ipynb	�?	�?
Propensity Modeling for Email Marketing Campaign.ipynb	Propensity Modeling for Email Marketing Campaign.ipynb	�?	�?
PySpark_Basic_DataFrame_Operations.ipynb	PySpark_Basic_DataFrame_Operations.ipynb	�?	�?
Pysurvival.ipynb	Pysurvival.ipynb	�?	�?
Quantile Regression.ipynb	Quantile Regression.ipynb	�?	�?
README.md	README.md	�?	�?
Recommender Systems - The Fundamentals.ipynb	Recommender Systems - The Fundamentals.ipynb	�?	�?
Recursive least squares.ipynb	Recursive least squares.ipynb	�?	�?
Regression Diagnostics.ipynb	Regression Diagnostics.ipynb	�?	�?
Regression Plots.ipynb	Regression Plots.ipynb	�?	�?
SF_Crime_Text_Classification_PySpark.ipynb	SF_Crime_Text_Classification_PySpark.ipynb	�?	�?
Scikit-Survival.ipynb	Scikit-Survival.ipynb	�?	�?
Seattle Hotels Recommender.ipynb	Seattle Hotels Recommender.ipynb	�?	�?
Seattle_Hotels.csv	Seattle_Hotels.csv	�?	�?
Sentence Classification & Hotel Recommender.ipynb	Sentence Classification & Hotel Recommender.ipynb	�?	�?
Simple Linear Regression.ipynb	Simple Linear Regression.ipynb	�?	�?
Softmax function.ipynb	Softmax function.ipynb	�?	�?
Solving A Simple Classification Problem with Python.ipynb	Solving A Simple Classification Problem with Python.ipynb	�?	�?

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