Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
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Updated
Sep 28, 2017 - R
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Showcase for using H2O and R for scoring for marketing campaign in retail
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
Repository for Udemy Course: Identify problems with Artificial Intelligence
Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.
🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞
A project about the brief application of tm & qdap libraries to clean the text data by forming corpus followed by applying dtm and further sparsity and designed a stacked model of random forest, gradient boost, xgboost & deeplearning by using h2o library for Machine Learning
Building binary predictors on a heavily imbalanced dataset - exercise on policy cross-selling [kaggle]
Script for MNIST prediction using MXNET and H2o in R.
Multi-Class Classification of Music Genres
Machine Learning approach to predicting comment recommendations based on New York Times articles and comments made on those articles.
Machine learning along with string distance algorithms to detect and link name information from different disparate sources.
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