Time-Series forecast of max temps for four cities in India

Using ARIMA and SARIMA time series models, I forecasted the future sales of a superstore by leveraging historical data spanning four years, from 2015 to 2018.

Time series analysis

⏰ Timeseries prediction using SARIMA algorithm from statsmodels package.

Time Series Analysis using ARIMA & SARIMA

Time series analysis and forecasting using various models (such as Holt Winters, ARIMA, SARIMA etc.) to predict the recovery rate, number of deceased, and confirmed cases of the current pandemic.

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

A Time-Series prediction model to forecast the covid-19 cases .

SARIMA electricity demand forecasting model in Python using over a million datapoints for Australian states.

CSE 535 : Mobile Computing

Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.

Curso onde usamos o Kaggle.

Market Share Prediction of Top 3 Mobile Vendors using Time Series Analysis

Household power consumption modeling (time-series modeling)

Create a time series model to forecast inventory needed by retail comapnies

Final project for the Time Series course on two different time series, one on the evolution of the BTC price (series with trend) and the other on the Indian weather (series with trend and seasonality).

time series forecasting using exponential smoothing, SARIMA, SARIMAX

Python model to analyze and predict value of stock in the short term and rudimental deployment on server

Ryerson Course Project

Times series data using statsmodels librairy