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.

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.

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

ExcelR Data Science Assignment No 1

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

Multiple Linear Regression Study to predict King County House Sale Prices

Apprentissage supervisé : Création de modèles prédictifs

ExcelR Data Science Assignment No 3

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

Used libraries and functions as follows:

Created model using Linear regression to predict variables impacting demand.

Explorer, nettoyer et analyser pour effectuer une modélisation des données

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