├── All State Insurance Claims Severity Prediction ├── All State Insurance Claims Severity Prediction.ipynb ├── sample_submission.csv.zip ├── test.csv.zip └── train.csv.zip ├── Build an Image Classifier for Plant Species Identification ├── Build an Image Classifier for Plant Species Identification.ipynb ├── test.csv └── train.csv ├── Choosing the right Time Series Forecasting Methods └── Time-Series-Forecasting.ipynb ├── Credit Card Fraud Detection as a Classification Problem ├── Credit Card Fraud Detection as a Classification Problem.ipynb └── creditcard.R ├── Identifying Product Bundles from Sales Data ├── DataSet.txt └── Identifying Product Bundles from Sales Data.R ├── Instacart Market Basket Analysis ├── Instacart Market Basket Analysis.ipynb ├── aisles.csv ├── departments.csv ├── order_products__prior.csv ├── order_products__train.csv ├── orders.csv ├── products.csv └── sample_submission.csv ├── Music Recommendation System Project using Python and R ├── Perform EDA and build Music Recommendation Engine.ipynb ├── Perform EDA and build Music Recommendation Engine.r ├── members.csv ├── requirements.txt ├── sample_submission.csv ├── song_extra_info.csv ├── songs.csv ├── test.csv └── train.csv ├── Perform Time series modelling using Facebook Prophet ├── Benchmarking ARIMA vs Prophet vs Keras.ipynb └── energydata_complete.csv ├── Predict BigMart Sales ├── Predict Big Mart Sales.ipynb ├── Test.csv └── Train.csv ├── Predict Churn for a Telecom company using Logistic Regression ├── Predict Churn for a Telecom company using Logistic Regression.ipynb ├── Telecom_Test.csv └── Telecom_Train.csv ├── Predict Credit Default Give Me Some Credit ├── Credit_Score_Solution.ipynb ├── Data_Dictionary.xls ├── cs-test.csv ├── cs-training.csv └── sampleEntry.csv ├── Predict Employee Computer Access Needs ├── Solution_File_in_Python.ipynb ├── Solution_File_in_R.ipynb ├── sampleSubmission.csv ├── test.csv └── train.csv ├── Predict Macro Economic Trends ├── Predict Macro Economic Trends.ipynb └── sample_train.zip ├── Prediction of Flower Species └── Prediction of Flower Species.ipynb ├── Predictive Models in IoT - Energy Prediction Use Case ├── Predictive Models in IoT - Energy Prediction Use Case.ipynb ├── testing.csv └── training.csv ├── README.md ├── Regression on Boston Housing Dataset ├── Regression on Boston Housing Dataset.ipynb └── boston.csv ├── Solving Multiple Classification use cases Using H2O ├── Deep Learning using H2O.R └── H2O Basics.R ├── Titanic Survival Prediction ├── EDA.ipynb ├── test.csv ├── titanic.jpg └── train.csv └── Zillow’s Home Value Prediction (Zestimate) ├── Solution_file.R ├── Solutions_file.ipynb ├── properties_2016.csv ├── sample_submission.csv ├── train_2016.csv └── zillow_data_dictionary.xlsx /All State Insurance Claims Severity Prediction/All State Insurance Claims Severity Prediction.ipynb: -------------------------------------------------------------------------------- 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