Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models

This repo contains files for the blog post about conjoint analysis

A comprehensive implementation of various Regression Techniques in Machine Learning.

Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.

Tutorials for BSE classes.

Using Python to work up a Design of Experiments

My this project repository focused on hypothesis testing involving T-test, Chi-square test, Binomial Test, ANOVA, Sample Size Determination with scipy, statmodels modules.

Orange3 widgets wrapping Statmodels library

Project analyzes the price trends, correlations, and patterns of Bitcoin, Ethereum, and Binance Coin (2020–2024) using Python and statistical methods. It explores volatility, trends, seasonality, and forecasts future prices while assessing interdependencies and stability during major economic events.

Multiple Linear Regression Study to predict King County House Sale Prices

ExcelR Data Science Assignment No 1

ExcelR Data Science Assignment No 3

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

Apprentissage supervisé : Création de modèles prédictifs

Created model using Linear regression to predict variables impacting demand.

Used libraries and functions as follows:

Predict delivery time using sorting time and Build a prediction model for salary hike.

Exploration of descriptive and inferential statistical methods using Python and Jupyter Notebook.