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.

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

Predicting amount of funding the NIH awarded research grants (R01s)

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

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

Predicting Parkinson decease using decision trees

Predicting Customer Churn in Banking Industry

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

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

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

TFM Luis González - Pavla Fuxova

Set of R codes on Data Cleaning , Analysis and Interpretation. Running Linear and Logistic Regressions and doing classification in R.

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

Analyizing the effect that qualitative predictors have on sales.

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

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