Machine Learning Regression Masterclass in Python

Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras
4.63 (802 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning Regression Masterclass in Python
7 132
students
10.5 hours
content
Jan 2025
last update
$84.99
regular price

Why take this course?


Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras

🚀 Course Description: In the era of Artificial Intelligence, understanding Machine Learning (ML) is not just an advantage; it's a necessity. With industries like Healthcare, defense, banking, gaming, transportation, and robotics leveraging AI to make monumental strides, mastering ML regression techniques has never been more crucial. Dr. Ryan Ahmed, Ph.D., MBA, your expert instructor, will lead you through the intricacies of regression models in this comprehensive course.

🧠 Why Learn Regression?

  • AI Revolution: AI is transforming every sector, and ML regression techniques are pivotal in making sense of data to drive informed decisions.
  • High Demand Skill: The demand for machine learning engineers and data scientists has skyrocketed, with the global AI market expected to hit $8.8B by 2022.
  • Real-World Applications: From stock market predictions and real estate trend analysis to targeted marketing campaigns, regression is everywhere!

🛠️ Course Objectives & Projects:

  • Gain a solid grasp of key ML regression techniques through 8+ practical projects.
  • Learn to implement regression models using Python, Scikit Learn, and Keras.
  • Understand the nuances of linear regression, polynomial regression, logistic regression, decision trees regression, ridge regression, lasso regression, and neural networks for regression analysis.

📚 What You'll Master:

  • Simple Linear Regression 📊
  • Multiple Linear Regression 📈
  • Polynomial Regression 🚀
  • Logistic Regression 🎯
  • Decision Trees Regression 🌳
  • Ridge Regression & Lasso Regression 🔍
  • Artificial Neural Networks for Regression Analysis ⚛️
  • Key Performance Indicators in Regression 🏆

👩‍💻 Who is this for? This course is designed for students aiming to:

  • Understand the fundamental concepts of ML regression models.
  • Gain practical experience training regression models with real-world datasets.
  • Apply advanced techniques to solve complex, real-world problems.

🔐 No Prerequisites Needed! While a basic understanding of programming is beneficial, this course will cover all necessary topics for students with minimal programming experience. Join us and turn your curiosity into expertise in ML regression models!

🚀 Career Impact: Upon completion, you'll be equipped to tackle challenges in data analysis, marketing, finance, and more. You'll join the ranks of professionals who can leverage regression techniques to make data-driven decisions that impact business and society at large.

🎓 Enroll Now and Transform Your Future! Take the first step towards a rewarding career in AI and ML. With Dr. Ryan Ahmed's expert guidance, you'll not only learn but also apply the concepts to real-life scenarios. Don't miss out on this opportunity to become a key player in the AI revolution.


Join us today and start your journey towards mastering Machine Learning Regression Techniques Using Python, Scikit Learn, and Keras! 🚀📚✨

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2387748
udemy ID
28/05/2019
course created date
20/11/2019
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