Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

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

A Novel Hybridized Forecasting Technique Utilizing ARIMA and Large Language Models

Auto tunned hybrid model for time series prediction using ARIMA and ANN

This is a Python implementation of ARIMA using the S&P 500, and the individual stocks that are contained within.

Time Series With Python

Returns best ARIMA model according to information criteria. Search over possible model within the order constraints provided.

Master thesis about predicting company earnings with AI techniques from company fundamentals.

Demonstration of time series analysis using various concepts and models.

Repository contains a package with functions for data analytics

chatbot designed to allow users to interact with transformer models

Time series analysis of COVID-19 data using two unique methods

Arima modelling - Time Series

This is a neural network that I wrote for the Mathworks Math Modeling Challenge in 2023. The purpose of this code is to take in statistics about ebike sales and other factors that could change it. The point of the neural network is to find the weights for each factor, and thus find how much each factor impacts the ebike sales

Cryptocurrency automatic trading

November 2021 - Topics In Finance - Discovering break points with independent forecasts using transgenic forms of time series data developed with ARIMA models

Small project aimed to find the best model for predicting values for a given set of data.

Microservicio que predice la temperatura y humedad usando Arima y RandomForestRegressor

An implementation of an ARIMA time series forecast using Python statsmodels and scipy.