A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.

• UpdatedMay 8, 2020
• Jupyter Notebook

This repo uses Natural Langauage Processing, time series analysis, and ARIMA to explore predictive housing trend analysis.

• UpdatedMay 17, 2022
• Jupyter Notebook

Predicted Volatility: Applying Predicted Volatility to Determine Profitability of Cyclical and Defensive ETFs

• UpdatedOct 6, 2022
• Jupyter Notebook

Machine Learnings Application on Airquality datsets. Implemented many analytical models on air quality dataset and compared them on the basis of mean squared error , root mean squared error, mean absolute error and and Accuracy.

• UpdatedMay 24, 2022
• Jupyter Notebook

A neural network model for predicting cryptocurrency prices using machine learning and time series analysis techniques.

• UpdatedMay 4, 2024
• Python

Build a forecasting model to predict the sale of a store.

• UpdatedMay 14, 2022
• Jupyter Notebook

A Simple Python Implementation of an API that provides services like Classification,Regression and Forecasting on the input data set

• UpdatedApr 19, 2020
• Python

This repository covers essential techniques for time series analysis and forecasting. It covers data manipulation and visualization using Numpy and Pandas, time series analysis with Statsmodels, ARIMA models, deep learning methods like RNNs, LSTM, GRU, etc. and Facebook's Prophet library.

• UpdatedSep 26, 2024
• Jupyter Notebook

Applying time series techniques to the US macroeconomics dataset. This repository is based on the Applied Time Series Analysis in Python course by Marco Peixeiro on Udemy.

• UpdatedOct 19, 2024
• Jupyter Notebook