Name	Name	Last commit message	Last commit date
Latest commit History 153 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
Anomaly_Detection_for_Dummies.ipynb	Anomaly_Detection_for_Dummies.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
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
Classifier Visualization.ipynb	Classifier Visualization.ipynb
Click-Through Rate Prediction.ipynb	Click-Through Rate Prediction.ipynb
Clustering Loyalty members.ipynb	Clustering Loyalty members.ipynb
Collaborative Filtering Model with TensorFlow.ipynb	Collaborative Filtering Model with TensorFlow.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
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
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
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
Propensity Modeling for Email Marketing Campaign.ipynb	Propensity Modeling for Email Marketing Campaign.ipynb
PySpark_Basic_DataFrame_Operations.ipynb	PySpark_Basic_DataFrame_Operations.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
Seattle Hotels Recommender.ipynb	Seattle Hotels Recommender.ipynb
Seattle_Hotels.csv	Seattle_Hotels.csv
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
Spark DataFrames Project Exercise_Udemy.ipynb	Spark DataFrames Project Exercise_Udemy.ipynb
Supervised Learning - Part I.ipynb	Supervised Learning - Part I.ipynb
Supervised Learning - Part II.ipynb	Supervised Learning - Part II.ipynb
TPOT Mercedes.ipynb	TPOT Mercedes.ipynb
Text Classification Keras.ipynb	Text Classification Keras.ipynb
Text Classification keras_consumer_complaints.ipynb	Text Classification keras_consumer_complaints.ipynb
802E Time Series ANN & LSTM VIX.ipynb	Time Series ANN & LSTM VIX.ipynb
Time Series Forecastings.ipynb	Time Series Forecastings.ipynb
Time Series LSTM VIX.ipynb	Time Series LSTM VIX.ipynb
Time Series of Price Anomaly Detection Expedia.ipynb	Time Series of Price Anomaly Detection Expedia.ipynb
Topic Modeling.ipynb	Topic Modeling.ipynb
Unsupervised Learning.ipynb	Unsupervised Learning.ipynb
Using the Twitter API for Tweet Analysis.ipynb	Using the Twitter API for Tweet Analysis.ipynb
Weather Data Classification using Decision Trees.ipynb	Weather Data Classification using Decision Trees.ipynb
Weather Data Clustering using k-Means.ipynb	Weather Data Clustering using k-Means.ipynb
What is a Trip.ipynb	What is a Trip.ipynb
Working with Databases.ipynb	Working with Databases.ipynb
Xgboost_bow_tfidf.ipynb	Xgboost_bow_tfidf.ipynb
Zakka_Canada_CLV.ipynb	Zakka_Canada_CLV.ipynb
a_features.ipynb	a_features.ipynb
a_tfstart.ipynb	a_tfstart.ipynb
adspy_shared_utilities.py	adspy_shared_utilities.py
b_estimator.ipynb	b_estimator.ipynb
beef.csv	beef.csv
breast_cancer_predict.ipynb	breast_cancer_predict.ipynb
c_batched.ipynb	c_batched.ipynb
create_datasets.ipynb	create_datasets.ipynb
d_traineval.ipynb	d_traineval.ipynb

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Last commit message

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153 Commits

data

movielens_data

03_Numpy_Notebook.ipynb

05a_Matplotlib_Notebook.ipynb

05b_Exploring Indicator's Across Countries.ipynb

05c_Folium_Notebook.ipynb

20070103-^NSEI.csv

A Simple Classification.ipynb