Time Series Forecasting with XGBoost - Predict Store Revenue Using Python and Machine Learning
Discover how to build a practical sales forecasting model in Python to predict next year’s store revenue using XGBoost. In this video, we walk through the complete workflow, starting with preparing historical sales data and performing essential feature engineering, then training an XGBoost regression model to capture complex patterns in retail performance. You will learn how to structure time-based data for forecasting, evaluate model accuracy, and generate reliable revenue predictions for the upcoming year. This tutorial is designed for data science enthusiasts, analysts, and anyone interested in applying machine learning techniques to real-world business forecasting problems using Python. Dataset: https://github.com/Onurbltc/SalesFore... Thanks for watching the video! I share new Data Science content regularly. If you enjoyed it, feel free to subscribe for more. Playlists you may like: Data Science Full Courses & Projects • Data Science Full Courses & Projects Python Data Analysis Tutorials • Python Data Analysis Tutorials with Pandas... Python Machine Learning Tutorials • Machine Learning with Python Tutorials: Sc... AI Tutorials • AI Tutorials (Langchain, OpenAI & LLMs) Watch next: Fraud Detection Using Machine Learning – Full Python Data Science Project (94% Accuracy) • Fraud Detection Using Machine Learning – F... Python Machine Learning Project Tutorial • Data Cleaning with Python Pandas: Hands-On... Python Data Science Bootcamp: Zero Experience to Expert in 7 Hours (7 Full Courses & Projects) • Python Data Science Bootcamp: Zero Experie... Python Exploratory Data Analysis Project: Analyze Volleyball Data with Pandas (Step-by-Step Tutorial) • Python EDA Project: Analyze Volleyball Dat... Customer Segmentation Using Machine Learning (K-Means Clustering) – Full Python Data Science Project • Customer Segmentation Using Machine Learni... Courses: https://www.onurbaltaci.com/courses Contact for sponsorships: https://www.onurbaltaci.com/contact Join the Data Science Discord community: / discord

Master One Hot Encoding in Python: A Complete Step-by-Step Guide!

Time Series Forecasting with XGBoost - Advanced Methods

Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption

Why we made up Quantum Physics?! (it doesn't make sense!)

How to build ARIMA models in Python for time series forecasting

UPI Fraud Detection Using Machine Learning - Part 3: Model Building & Optimization #machinelearning

Demand forecasting using XGBoost and Prophet

Time Series Forecasting in Python – Tutorial for Beginners

Master Optuna: Advanced Hyperparameter Tuning for Machine Learning (Step-by-Step)

Something is jamming GPS over Europe. Here's what we found

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

How to train XGBoost models in Python

Time Series Analysis for Quant Finance

If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

The "Secret" Python Scikit-Learn Feature That Replaces 100 Lines of Code (Pipelines)

Build a Demand Forecasting Model with Python & Machine Learning | Data Science Portfolio Project

In 5 Jahren ist dieses Deutschland Geschichte (Kayvan Siavash)

Transformers, the tech behind LLMs | Deep Learning Chapter 5

