Heat Index Forecasting for different Regions in the Philippines

Attempt to predict the expected price for the following day using Long Short Term Memory method using Keras sequential API for deep learning applications. This program determines a target and date range, trains a model using a generational neural network, then outputs both a plot and the predicted output price for the following day.

A data science project that predict the winner of the football matches. From 4 leagues England, France, Egypt and Tanzania Premier Leagues.

This was a project from Coursera. In this we had to predict heart diseases using the given dataset

Predicting the percentage of student based on the study hour using simple linear regression.

Predicting Parkinson decease using decision trees

Analyizing the effect that qualitative predictors have on sales.

# the predictions may change according to different reasons. the predictions may change the 97% accuracy this shows may change the predictions may change

the predictions may. Accuracy : 52.5% not sure the predictions may change.

The predictions may change the data has 77.5% accuracy may change. the predictions may change

☣A Hac'KP initiative where Crime profiling can be done using AI☣

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

Predicting Customer Churn in Banking Industry

Predicting safe-incident and unsafe-incident neighborhoods, based on number of incidents like fire, gas-leaking response time and etc can be useful for consult cities and the residents to be aware of the fire department's facilities.

Predicting bug reassigned fields using stack traces and ensemble of multiple HMM classifiers.

Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree

This repository is for a final group project of a course only.