100% OFF Machine Learning Project - Electricity Demand Forecasting Coupon Code
100% OFF Machine Learning Project - Electricity Demand Forecasting Coupon Code
  • Promoted by: Anonymous
  • Platform: Udemy
  • Category: Data Science
  • Language: English
  • Instructor: Data Science Lovers
  • Duration:
  • Student(s): 1,099
  • Rate 4.2 Of 5 From 0 Votes
  • Expires on: 2025/09/09
  • Last Update: 2025/09/08
  • Price: 0.00

Build an Electricity Demand Prediction Machine Learning Model in Python (End-to-End Tutorial) - Free Course

Unlock your potential with a Free coupon code for the "Machine Learning Project - Electricity Demand Forecasting" course by Data Science Lovers on Udemy. This course, boasting a 4.2-star rating from 0 reviews and with 1,099 enrolled students, provides comprehensive training in Data Science.
Spanning approximately , this course is delivered in English and we updated the information on September 08, 2025.

To get your free access, find the coupon code at the end of this article. Happy learning!

In this project, you will learn how to build a Machine Learning model with Python. We will build a XGBoost Model that will help us in forecasting of electricity demand in a city.

You will learn how to handle time-series data, create powerful features, train a machine learning model and and evaluate its performance.

Here, we have used a historical data of last 5 years. Based on this data we will predict the future demand using our model.

This is a time series dataset with Per Hour information. In this dataset, we have multiple useful columns like - Temperature, Humidity, Demand etc.

From the datetime column, we created other useful columns like day_of_year, week_of_year, is_weekend, is_holiday etc.

We have used the line chart, box plot for visualization.


Key Learnings:

  • Time Series Data Handling

  • Feature Engineering for Demand Forecasting

  • Machine Learning (XGBoost) for Prediction

  • Model Evaluation (RMSE, MAE)

  • Understanding Energy Consumption Patterns


We will make use of :

  • Python: The core programming language

  • Pandas: Data manipulation and analysis

  • NumPy: Numerical operations

  • Matplotlib & Seaborn: Data visualization

  • Scikit-learn: Machine learning utilities

  • XGBoost: Gradient Boosting for robust predictions

  • Holidays: For national holiday data

Master Energy Forecasting: A Python Project for Electricity Demand Prediction.


Thanks all students !