Time series forecasting with scikit-learn models

Dashboarding & Forecasting Security Incidents @ Toronto Metropolitan University

Julia Package with SARIMA model implementation using JuMP.

This project aims to investigate temperature changes over time and predict future temperature patterns on a regional and global scale. We employ time series forecasting methods, including neural networks, ARIMA, and SARIMAX, using the GISTEMP v4 dataset from NA

Batch Name: MIP-ML-11 (Machine Learning Intern)

A python module to fetch live data from Binance API, to predict trend and components of various crypto currencies.

Predicting Walmart Sales and Performing Exploratory Data Analysis

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

*Finished* ARIMA Model Selection and Evaluation for a variety of daily and monthly recorded database

Time Series Analysis

Currency Exchange Rate Forecasting is a Time-Series forecasting model which is built to forecast the INR-USD Currency Exchange Rates using SARIMAX algorithm.

In this Machine Learning project Rented Bike Count is predicted based on different Independent features using regression models like Linear Regression, KNN, SVR, DT, RF and XGBRegressor. Time series model SARIMAX is also used to predict dependent variable.

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

Time series modelling with extended regression SARIMA models

Time series model that predicts production of electrical energy via natural gas for the next 3 years.

Time Series Analysis and Forecasting: Use SARIMAX to Predict Customer Complaints