Machine Learning Feature Engineering Logistic Regression | AIML End-to-End Session 79
Ready to dive deep into the world of
Artificial Intelligence
Machine Learning (AIML)?
Welcome to Session 79 of our End-to-End Machine Learning Application series! In this session, we take a deep dive into the critical topic of Feature Engineering for Logistic Regression models.
In this video, you will learn:
What is Feature Engineering and why it's important for machine learning.
Techniques for feature selection and transformation to improve model accuracy.
How to handle categorical data, missing values, and outliers in logistic regression.
Implementing feature scaling, interaction terms, and polynomial features for better performance.
A step-by-step guide to feature engineering in Python with real-world datasets.
Effective feature engineering can dramatically improve the predictive power of machine learning models, and this session will show you exactly how to do it for Logistic Regression.
Stay tuned for hands-on demonstrations, expert tips, and best practices for optimizing your models through feature engineering. Don't forget to like, share, and subscribe for more machine learning and AI tutorials!
Seize this exclusive
opportunity to
accelerate your learning with Personalized
Live sessions tailored just for you!
Google Form Registration:
Secure your spot by filling out the Google Form below.
https://docs.google.com/forms/d/1dBgx...
#MachineLearning
#FeatureEngineering
#LogisticRegression
#DataScience
#AIML
#MLTutorials
#DataPreparation
#FeatureSelection
#PythonMachineLearning
#AIApplications
#LogisticModel
#MLForBeginners
#EndToEndML
#DataPreprocessing
#MLProjects
@TwoMinutePapers
@3Blue1Brown
@sirajraval
@sentdex
@DeepMind
@lexfridman
@DataSchool
@TensorFlow
@PyTorch
@TheCodingTrain
@KrishNaik
@MachineLearningTV
@AIEngineering
@ArtificialIntelligence
@JeremyHoward
@TechWithTim
@GoogleAI
@AIandGames
@AIhub
@AIforAll
@HarvardInsights
@StanfordScholars
@MITOpenCourseWare
@UCBerkeleyOfficial
@OxfordAcademia
@CambridgeScholars
@YaleUniversity
@PrincetonPerspectives
@ColumbiaEducate
@CaltechDiscoveries
@UChicagoIntellect
@ImperialCollegeLondon
@ETHZurichKnowledge
@UniversityofTokyoOfficial
@UCLAInsights
@MichiganStateUniversity
@UniversityofToronto
@PekingUniversity
@NUSingapore
@ANUResearch
Смотрите видео Machine Learning Feature Engineering Logistic Regression | AIML End-to-End Session 79 онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Noble Transformation Hub Ai Consciousness ®️ 01 Январь 1970, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 2 раз и оно понравилось людям.