Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.

Basic statistical modelling examples.

Data Wrangling, Linear Models & other misc. Inferential Statistics.

Project using multiple linear regression to model prices of houses in Ames, IA.

Dataset containing radio frequencies, geo-locations, and habitat types for Oregon frogs

Erasmus University Rotterdam course »Econometrics: Methods and Applications« by Prof. Philip Hans Franses and others (completed Jan. 2023)

Expand broom::tidy() output for categorical parameter estimates

Exploratory Data Analysis and GLM modelling using the European Union Social Survey dataset (ESS). Aim: Can we predict voter preferences using logistic regression?

Analyzing and investing Technology Stocks

This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.

This project is a study that performs statistical regression analysis for a car buying, selling, and rental company and predicts the total revenue using multiple linear regression based on the analysis

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

Interpretable Configurational Regression: An R Package

The framework for finding multiresolution partitions that have homogeneous linear models from multiresolution dataset.

This repository contains all the projects/case studies done using Machine Learning methods. This is in conjunction with another repository. Difference being that R would be the main software used here

In this repository, we explore the use of BRFSS dataset for descriptive analysis.

This project analyzes zipcode-year housing prices in Chicago area by text analysis (NLP) and fixed effect regression, and generates a shiny app.

By Constructing a regression model without interactions for data obtained from a health insurance company- information from its subscribers who had made claims resulting from ischemic (coronary) heart disease- we are able to predict the total costs of services provided. This project helps interpret the data through appropriate scatter plots (suc…

Fire Incident risk classification Data Mining project