it provide better parameter choosing ability

Telecom customer churn example with h2o

Coursework and Assignments for EGRMGMT - 590(10)

Programming assignments completed in the PG Program for AI ML

A study to analyze and predict Election Outcome in Indian Politics using multiple machine-learning algorithms Decision Trees, Random Forests, SVM, and XGBoost with hyper parameters tuning (Grid search).

Script Invariant Grid Search

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

Our goal is to discover what’s the quality of a wine considering only its chemical properties.

This repository contains code for building a machine learning model to predict NFL players' selection for the Pro Bowl based on player statistics from the NFL Pro Bowl 2022 dataset. Three different supervised learning models, including one linear and two non-linear models, are implemented.

Build a model to predict the probability of a called strike of a given pitch with various features.

Hyperparameter config file generator.

DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***

Email spam classification for Naive Bayes, Gradient Boosting Machine, Support Vector Machine and Random Forest

Telecom customer churn example with h2o

DSND Disaster Response Pipelines Project

Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…

Here are some of my projects on different topics!

Code that accompanies my talk at TF Dev Summit 2016

Hotel booking cancellation prediction model