The notebooks include forecasting Indian monthly inflation rates usuing SARIMAX Model and Economic Modelling using NKPC

Comparison of methods for predicting electricity consumption of a large non-residential building.

In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.

Time series forecasting using ML models (ARIMA, SARIMA, SARIMAX and Prophet)

A collection of Statistics and ML notebooks useful for Graduate Students

A repository with notebooks to help understand time series forecasting, with projects to practise.

Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.

This repository contains a Jupyter Notebook that performs time series analysis and forecasting on a dataset of passenger counts. The notebook covers various stages of the analysis, including data preprocessing, exploratory data analysis, model training, and prediction.

Contains notebooks of Time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA, Prophet model and LSTM model with forecast evaluation.