Predicting chemosensitivity using gene expression

Predictive Analysis of Price on Amsterdam Airbnb Listings Using Ordinary Least Squares.

R package to power-up data science analysis based on learned techniques in the FGV MBA course.

Classification Analysis with supervised algorithms KNN, RandomForest and SVM. Use of PCA and K-means to recognize the importance of features.

Linking a pre-existing R Project with GitHub. The project - Predicting Ice Cream Sales - was carried out on 'Statistics with R' module during the MSc Data Science for Business at the University of Stirling.

Descriptive analysis about Myopia.

Predicting which areas in L.A are more prone to severe crime using decision trees and logistic regression models in R.

A collection of cool R scripts for visualizing mutation operators found in XtalOpt, as well as plotting data for crystal structures.

Analytics Vidya practice dataset for loan prediction

Understand what influences bike rental usage. 🚲

Provided valuable data insights for strategic planning on furniture and home furnishings products by carrying out exploratory data analysis using Excel and PowerBI. Finally provided predictive analysis using Holt-Winters model with R programming language in well documented reports.

A used car online selling company in the USA is in the process of updating their car price assessment method where they want to apply a data driven technique. The trial dataset consists of 25 variables describing 23531 car sales from 2019 to 2020. The management is very keen to apply predictive modelling for this task where the trail data set is…

Prediction of loan approval using cibil score rating and prediction of repay for approved loan using machine learning algorithm.

Spam Filtering and Credit Card Default Prediction Projects

Projects i have worked on using Natural Language Processing and classification predictive modelling.

Predict passengers being dead/alive using titanic datasets. survival(0 = No, 1 = yes), pclass (1 = 1st, 2 = 2nd, 3 = 3rd). On April 15, 1912, RMS Titanic sank after colliding with an iceberg, resulting in the death of 1502 out of 2224 passengers and crew.

Predictive Analysis of data using R. (Machine Learning)