A python package for interaction with time series data.

My invited Keynote/Talk at Conferences, Universities, Companies, etc.

This notebook was built to analyze Whatsapp conversations using the steps below: Step 1: Detecting {Date} and {Time} tokens Step 2: Detecting the {Author} token Step 3: Extracting and Combining tokens Step 4: Parsing the entire file and handling Multi-Line Messages For further steps, we need to perform Exploratory data analysis (EDA) Step 5: Per…

NW.UnivariateForecasting is a library to perform Univariate Forecasting on your own values. Time Series Forecasting is a machine learning technique that aims to predict the next values in a time series when a subset of subsequent values is provided ("sliding window").

📈💼✈️ Welcome to ForecastAIHub! Our repository is dedicated to financial market prediction and flight passenger forecasting. By harnessing powerful AI algorithms, we provide accurate forecasts for market trends and flight demand. 📊💹✈️ Our mission is to empower data-driven decision-making in the realms of finance and aviation.

This repository contains the assignment of Macro-Econometric Forecasting by IMFx.

Time Series analysis for the prediction of Daily corona new cases using ARIMA and HoltWinter Model in R programming..

using Fully Connected Network to forecast gold price in January 2024.

"Welcome to the Python repository, your ultimate destination for everything Python-related! 🚀 From basic syntax to advanced techniques, from libraries to frameworks, you'll find a wealth of resources to expand your knowledge and skills. Get ready to dive into the versatile world of Python and unlock endless possibilities. Happy coding!"

It's a time series forecast problem that basically solves short term electricity bill of a house hold

Time Series Analysis of Indian National Rupee against US Dollar

Pedictive Analysis | Time Series | Forecasting | R Programming

Rによる経済予測シミュレーション

Capstone Project - IIT Palakkad Applied Data Science Program