The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

bitcoin prediction algorithms

Analizador de tráfico para dispositivos Android potencialmente comprometidos como parte de una botnet orientado a detectar ataques DDoS.

Project In Ecole Centrale Casablanca

Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Android app testing reaction times during awake brain surgeries

Forecasted traffic volume from 2016-2018 data to reduce traffic congestion and efficiently schedule road maintenance using time series models.

http://skillfactory.ru/ml-programma-machine-learning

Project In Ecole Centrale Casablanca

Holt-Winters exponential smoothing implemented in Go.

With the help of a brand new KATS package, we can detect outliers, change points, and build very strong Time Series Analysis models. By inspecting this repository you can get a solid vision of KATS on real Covid-19 data of Azerbaijan.

⛽ The agent helps to detect unusual high gas usage for the specified protocols.

Keras, Tensorflow eager execution layers for exponential smoothing

Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result

Time Series Analysis and Forecasting with Exponential Smoothing and Holt-Winters in Python