Forecasting Visitor Numbers for Restaurants in Japan

Simple Autoregression implementation for time series analysis using ARMA models

Using machine learning models to create forecasts and better manage supply chain networks and working capital levels.

Time series analysis | seasonal and unseasonal series

The unified ARIMA approach which is based on MAPE result for prediction and test sample.

Predict sum of quantity from all products and create cluster or segment of customer to get personalized promotion and sales treatment

Time Series analysis and prediction

Data Science: Machine Learning analysis of B2B website Visits and Purchase Patterns

Forecast sales and the demand for the next 6 months for an e-commerce store, in order to assist marketing team with optimal budget allocation

Implementation of ARIMA and Holt-Winters Exponential Smoothing models for the analysis of the global network of human vaccines for the period 2010-2019

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

Final project of the course "Python for Engineering Data Analysis" in the Technical University of Munich. The goal was predicting Covid-19 progress in July 2020.

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

This project comprises of automating creating an LSTM as well choosing certain tickers from Yahoo! Finance into a Streamlit app to display results for Auto ARIMA and LSTM models for making predictions of cryptocurrency values.

Time series analysis

Projeto de previsão do Covid19 com uso de Machine Learning, ministrado por Neylson Crepalde da DIO.

Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.

Forecasting Time Series with differents algorithms

This folder contains all the machine learning projects like numbers, text, timeseries etc.