Name	Name	Last commit message	Last commit date
Latest commit History 76 Commits
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
A Simple Classification.ipynb	A Simple Classification.ipynb
BOW_TFIDF_Xgboost_update.ipynb	BOW_TFIDF_Xgboost_update.ipynb
Build Recommender System in an Hour - Part 2.ipynb	Build Recommender System in an Hour - Part 2.ipynb
CLV_Non_Contractual.ipynb	CLV_Non_Contractual.ipynb
CLV_Online_Retail.ipynb	CLV_Online_Retail.ipynb
Classifier Visualization.ipynb	Classifier Visualization.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
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
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
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
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
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
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
Text Classification Keras.ipynb	Text Classification Keras.ipynb
Text Classification keras_consumer_complaints.ipynb	Text Classification keras_consumer_complaints.ipynb
Time Series Forecastings.ipynb	Time Series Forecastings.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
Working with Databases.ipynb	Working with Databases.ipynb
Xgboost_bow_tfidf.ipynb	Xgboost_bow_tfidf.ipynb
Zakka_Canada_CLV.ipynb	Zakka_Canada_CLV.ipynb
adspy_shared_utilities.py	adspy_shared_utilities.py
beef.csv	beef.csv
breast_cancer_predict.ipynb	breast_cancer_predict.ipynb
data_preprocessing.py	data_preprocessing.py
dataset.csv	dataset.csv
diabetes.csv	diabetes.csv
fruit_data_with_colors.txt	fruit_data_with_colors.txt
machine learning spaCy.ipynb	machine learning spaCy.ipynb
research_paper.csv	research_paper.csv
scatter_plots.ipynb	scatter_plots.ipynb
stack_over_flow_auto_tagging.ipynb	stack_over_flow_auto_tagging.ipynb
topic_modeling_Gensim.ipynb	topic_modeling_Gensim.ipynb
visuals.py	visuals.py

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Last commit message

Last commit date

76 Commits

03_Numpy_Notebook.ipynb

05a_Matplotlib_Notebook.ipynb

05b_Exploring Indicator's Across Countries.ipynb

05c_Folium_Notebook.ipynb

A Simple Classification.ipynb

BOW_TFIDF_Xgboost_update.ipynb

Build Recommender System in an Hour - Part 2.ipynb

CLV_Non_Contractual.ipynb