Master Regression and Feedforward Networks [2025]

Master Regression analysis and Prediction with Regression Models, Feedforward Neural Networks, and XGBoost Regression
5.00 (69 reviews)
Udemy
platform
English
language
Data Science
category
Henrik Johansson
instructor
Master Regression and Feedforward Networks [2025]
343
students
12.5 hours
content
Feb 2025
last update
$59.99
regular price

What you will learn

Master Regression, Regression analysis, and Prediction both in theory and practice

Master Regression models from simple Regression models to Polynomial Multiple Regression models and advanced Multivariate Polynomial Multiple Regression models

Use Machine Learning Automatic Model Creation and Feature Selection

Use Regularization of Regression models and to regularize regression models with Lasso and Ridge Regression

Use Decision Tree, Random Forest, XGBoost, and Voting Regression models

Use Feedforward Multilayer Networks and Advanced Regression model Structures

Use effective advanced Residual analysis and tools to judge models’ goodness-of-fit plus residual distributions

Use the Statsmodels and Scikit-learn libraries for Regression supported by Matplotlib, Seaborn, Pandas, and Python

Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources

Option: To use the Anaconda Distribution (for Windows, Mac, Linux)

Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages

Screenshots

Master Regression and Feedforward Networks [2025] - Screenshot_01Master Regression and Feedforward Networks [2025] - Screenshot_02Master Regression and Feedforward Networks [2025] - Screenshot_03Master Regression and Feedforward Networks [2025] - Screenshot_04
5946088
udemy ID
4/27/2024
course created date
7/15/2024
course indexed date
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