real-time grid search engine

Applied ML algorithms on Income Data to find potential donors for charity

MNIST, SVHN, Transfered Learning, DNN, CNN

Hyper-parameter + encoding + architecture grid/random search for keras

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Learn to use Support Vector Machines in Python(sklearn) and R

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

A model designed to predict the California housing prices. Utilizing a ridge linear regression and grid search predict the value of house in the state of California based on a number of numeric and categorical variables.

Machine learning toolkits with Python

Machine Learning project for evaluation and validation of the models

An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.

All codes, both created and optimized for best results from the SuperDataScience Course

A company invest lot on employee to train them and make them ready for next generation business. Once you invest in skill enhancement of an employee you need to use it for benefit of business. Employee may be agitated even if they are being paid well as human have aspiration and if aspiration is fulfilled then they perform to their maximum capab…

An intelligent grid-traversal agent

Machine Learning Project using NYC Yellow Taxi Cab Dataset

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

A model designed to predict the teams with the highest point value for a given week in fantasy football based on the parameters of the DraftKings website. Utilizing a web scraper and a SQL database, build a ridge regression to predict the fantasy football point value for all competing players in a given week. Using convex optimization find combi…

playing with Dwork's adaptive holdout and how to use it for a grid-search