Home Energy Consumption Predicting
Arsenii Drobotenko
Python
6 Chapters
0 Studying now
A hands-on, notebook-style case study guiding you through the process of forecasting smart home energy consumption using regression and time series feature engineering. You will work step-by-step with pandas, seaborn, matplotlib, and scikit-learn, focusing on direct, linear code execution without function definitions.
Course description
A hands-on, notebook-style case study guiding you through the process of forecasting smart home energy consumption using regression and time series feature engineering. You will work step-by-step with pandas, seaborn, matplotlib, and scikit-learn, focusing on direct, linear code execution without function definitions.
Technology
Python
Language
En
Rating
Chapters
6
Data Loading & Preprocessing
Feature Engineering
Exploratory Data Analysis
Data Preparation for Regression
Model Training & Evaluation
Feature Importance Analysis
0%
Data Loading & Preprocessing
Feature Engineering
Exploratory Data Analysis
Data Preparation for Regression
Model Training & Evaluation
Feature Importance Analysis
