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

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

Multiple Linear Regression Study to predict King County House Sale Prices

Apprentissage supervisé : Création de modèles prédictifs

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

Udacity Data Analyst Nanodegree - Project III

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

Used libraries and functions as follows:

ExcelR Data Science Assignment No 3

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

Analysing the results of an A/B test run for an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.

Tried to understand whether the company should implement a new page or keep the old page with some statistical techniques.

ExcelR Data Science Assignment No 2