Free Coupon Machine Learning Project - Electricity Demand Forecasting

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This highly-rated course boasts a 4.2-star-star rating from 0 reviews and has successfully guided 1,099 students in mastering Data Science skills. Featuring of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.

• Expires on: 2025/09/09
• Last Update: September 08, 2025
• Price: 0.00 $

About This Course

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 !