Final Project for a Mathematical Biology course

Seasonality and text analysis of Boston Airbnb data

Various models for forecasting Poisson processes with cyclic underlying variability

Forecasting future traffic to Wikipedia pages using AR MA ARIMA : Removing trend and seasonality with decomposition

This project deals with Time Series Problem to predict the number of passengers in a train over the next 7 months

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

MATH-342 Time Series course taken at EPFL during Spring 17-18.

Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.

Forecasting with Seasonality using Exponential Smoothing

Forecasting Monthly Sales of French Champagne - Perrin Freres

Using SARIMAX for Time Series Forecasting on Seasonal Data that is influenced by Exogenous variables

Crack spread is the price differential between crude oils and refined products. "Crack" refers to the catalyzing and heating process that results in the breaking down of the carbon bonds, hence the name "cracking". The spreads represent industry refining margins and lend insight into economic activities. The spreads are thought to be seasonal. T…

Time series forecasting using different methods.

TensorFlow in Practice Specialization

Statistical analysis of products, customers and sellers from Olist.com

Seasonal decomposition of time-series (classical, STL) for gretl

Time Series Analysis

Buys Ballot plot as a graphical method for detecting seasonality