A python package for interaction with time series data.

Hand-Crafted Convolutional Filters 4 Time Series

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

A simple LSTM-based machine learning project to predict stock prices using historical data.

📈💼✈️ 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 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…

Visualization of 1D CNNs filters space for Time Series Analysis

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").

A simple LSTM-based machine learning project to predict stock prices using historical data.

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

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

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

"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!"

Pedictive Analysis | Time Series | Forecasting | R Programming

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

Modeling the Impact of Oil Prices on Energy Stocks Using ARDL and ARIMA Approaches (Cointegration Testing)

Time Series Analysis of Indian National Rupee against US Dollar

it contains CipherByte Technologies internship projects.

This project focuses on analyzing and forecasting currency exchange rates using time series analysis techniques. It includes data exploration, visualization, preprocessing, and implementation of forecasting models to predict future exchange rate trends.