Sentiment Analysis using Naive Bayes Model of customer voices of US airlines

Image classification using Convolutional Neural Network (CNN)

A two-year gas prices prediction by using the time series model (ETS, ARIMA, SARIMA, STLM and TBATS).

Clustering countries based on socio-economic and health factors by using K-means clustering and PCA.

Prediction of heating load for energy efficiency in the residential sector by using Linear Regression, Quantile Regression, Ridge Regression, Decision Tree and Random Forest.

Prediction of potential client’s preference towards the term deposit (product) by using classification model (Decision Tree, Random Forest and Naive Bayes).

Prediction of potable water by using classification method (Logistic Regression and K-NN).

Prediction a change of admit by using Simple and Multiple Linear Regression in combination with the Stepwise Method.

Implementing Exploration Data Analysis (EDA) and Visualization by using R programming.

Implementing data wrangling and Exploration Data Analysis (EDA) in R programming.