Projects of Business Analyst Nanodegree Program
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Updated
Sep 25, 2019 - TSQL
Projects of Business Analyst Nanodegree Program
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
This repository contains a tutorial to replicate the results of the published paper Spatial Beta-Convergence Forecasting Models: Evidence from Municipal Homicide Rates in Colombia
Time series forecasts using Uber's Orbit model and Facebook's Prophet
Udacity - Predictive Analysis for Business Projects
Time Series Forecasting Methods to forecast Daily Post Publications on Medium
Time Series Forecasting: City and Resort Hotels Bookings forecasting
Forecasting Projects for Econ 144 (Time Series Analysis & Forecasting) at UCLA, Spring 2023
Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.
A forecasting system for multiple sectors that uses ARIMA, ETS, SVR, and other models displayed on a user friendly interface with different viewing options.
Enhancing Decision Making and Prediction Optimization using the HybridFlow Forecast Model
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