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.

Using Python to work up a Design of Experiments

Tutorials for BSE classes.

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.

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

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

ExcelR Data Science Assignment No 3

Used libraries and functions as follows:

Multiple Linear Regression Study to predict King County House Sale Prices

Building a classification model for reducing the churn rate for a telecom company.

Udacity Data Analyst Nanodegree - Project III

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.

Model created using Logistic Regression to identify potential leads

Time Series forecasting using Seasonal ARIMA. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots. Transformed series to make it stationary

Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.