An attempt to predict the tip as a percentage of the total amount the taxi driver recieves
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Updated
Mar 26, 2017
An attempt to predict the tip as a percentage of the total amount the taxi driver recieves
Telecom customer churn example with h2o
Machine learning classification model with streamlit deployment.
All (almost) tree models. reference Repo with ready to use codes and functions
A package to build Gradient boosted trees for ordinal labels
Creating a fast-efficient pipeline to train Machine learning models.
Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)
2021 Amirkabir Artificial Intelligence Competitions (AAIC): Challenge of forecasting daily internet usage of MCI subscribers
Used R to analyze, explore and process the data, develop models to predict which loans are at risk of default and suggest investment strategies to the client to help them invest in P2P loans with high returns and low risk
Decompose gbm predictions into feature contributions
Machine Learning approach to predicting comment recommendations based on New York Times articles and comments made on those articles.
Sentiment140 dataset with 1.6 million tweets
Crystal Scoring API for PMML
Classification Models
Telecom customer churn example with h2o
Loan-Default-Prediction
R-based project to analyze lyrics entropy by genre and decade. A hand-engineered feature "words-per-unique-word" is introduced and deeply studied. Spotify and Genius APIs are used
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