Building Time Series ARIMA model to forecast sale / demand of tractors for next 3 years for a farm equipment manufacturing company.

K-means clustering algorithm classifies the wines into appropriate distinguished optimal clusters having similar properties in each cluster.

Model Building to Predict whether Customers will Succesfully Repay the Loans or No: Using Decision Trees and Random Forest Classification Methods.

Building predictive model to predict Sales of counterfeit medicines using Decision Trees and Random Forest Method.

To build a machine learning predictive model and predict which customers should be targeted for rolling out term deposits by a bank.( We use LOGISTIC REGRESSION here. )

Building a machine learning model using Linear Regression and predicting the accurate prices of the proterties.

This Mini Project involves data preparation of a dataset which includes income ranges and various attributes of a population belonging to a region in order to make it fit for futher analysis and model building.

This mini project involves learning the basic terminologies of univariate statistics in R.It involves using boxplots,histograms,cross tables and library psych to make statistical inferences and decision making.