Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Overall app for farmers

A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell

Health Prediction Web application using Django, machine learning .

A cutting edge Open Source HealthCare app(Android+Web) which utilizes Machine Learning to predict diseases based on Symptoms or Natural Language. Also includes features such as Live Chat with Doctors,Appointment Booking,Possible Drugs you can take and Specialist you can refer to.

Customer churn prediction model using SMOTE and Random Forest classification

Machine Learning Based - Intrusion Detection System

Built machine learning model to predict fraud events based on event details submitted. Compared the performance of Logistic Regression, Random Forest and AdaBoost Classifier Algorithms by fine tuning the model to maximize profit using cost benefit matrix. Developed a web app using Flask, Jinja and CSS to predict the risk level of live data with …

The Phishing Domain Detection Web Application determines if a webpage is a phishing page or not using the Random Forest Classification Algorithm.

This website show all the courses you can go for after your current studies.

Django application for predicting Rice Crop Yield using Random Forest algorithm.

Heart Disease prediction with Random Forest Classification 91% accuracy. Deploying with Flask.

Application to check air quallity of Jaipur, India.

A webmap that was created in 2016, displaying classification results for artificial land surfaces.

An IoT Based crop prediction System embedded with Machine Learning.

Portfolio projects

A webmap that was created in 2017, displaying the relationship between urbanization and census data in Houston (TX).

House Price Prediction of some of Indian Cities with Random Forest Regressor Machine Learning Algorithm