Master Regression and Feedforward Networks 2024

Master Regression and Feedforward Networks [2024]

Free Download Master Regression and Feedforward Networks [2024]
Published 5/2024
Created by Henrik Johansson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 20 Lectures ( 9h 58m ) | Size: 4.3 GB

Master Regression analysis and Prediction with Regression Models and Feedforward Neural Networks
What you'll learn:
Master Regression 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, 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
Requirements:
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
The course only uses costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included
Some Python and Pandas skills are necessary
Description:
Welcome to the course Master Regression and Feedforward Networks!This course will teach you to master Regression and Prediction with a large number of advanced Regression techniques for purposes of Prediction and Machine Learning Automatic Model Creation, so-called true machine intelligence or AI.You will learn to handle advanced model structures for prediction tasks, and you will learn modeling theory and several useful ways to prepare a dataset for Data Analysis with Regression Models.You will learn to:Master Regression and Prediction both in theory and practiceMaster Regression models from simple linear Regression models to Polynomial Multiple Regression models and advanced Multivariate Polynomial Multiple Regression modelsUse Machine Learning Automatic Model Creation and Feature SelectionUse Regularization of Regression models and to regularize regression models with Lasso and Ridge RegressionUse Decision Tree, Random Forest, and Voting Regression modelsUse Feedforward Multilayer Networks and Advanced Regression model StructuresUse 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 PythonCloud 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 – golden nuggets to improve your quality of work life.And much more.This course is an excellent way to learn to master Regression and Prediction!Regression and Prediction are the most important and commonly used tools for modeling, prediction, AI, and forecasting.This course is designed for everyone who wants tolearn to master Regression and Predictionlearn about Automatic Model Creationlearn advanced Data Science and Machine Learning plus improve their capabilities and productivityRequirements:Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedSome Python and Pandas skills are necessary. If you lack these, the course "Master Regression and Prediction with Pandas and Python" includes all knowledge you need.This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Regression and Prediction.Enroll now to receive 10+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
Who this course is for:
Anyone who wants to learn to master Regression and Prediction
Anyone who wants to learn about Automatic Model Creation
Anyone who wants to learn advanced Data Science and Machine Learning plus improve their capabilities and productivity
Homepage

https://www.udemy.com/course/master-regression-and-feedforward-networks-2024/

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