Complete Machine Learning & Reinforcement learning 2023

Start Machine Learning & Data Science era with Python ,Math & Libraries like: SKlearn , Pandas , NumPy, Matplotlib & Gym
4.24 (176 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Complete Machine Learning & Reinforcement learning 2023
1 482
students
27 hours
content
Jul 2023
last update
$19.99
regular price

Why take this course?

🌟 Complete Machine Learning & Reinforcement Learning 2023 🌟


Embark on Your Data Science Journey with SkyHub Academy!

Hello there,

Are you ready to dive into the world of Machine Learning and Data Science using Python, Mathematics, and state-of-the-art libraries like SKlearn, Pandas, NumPy, Matplotlib, and Gym? 🤖💻


Why Machine Learning?

  • Humans learn from past experiences, so why not machine learn as well? The era of Machine Learning and Data Science has arrived, and it's time for you to seize this opportunity. Whether you're intrigued by the field or looking to launch a career in it, our comprehensive course is tailored to guide you every step of the way.

🚀 What This Course Offers:

  • Intuitive Algorithm Understanding: Gain a clear grasp of various algorithms and their practical applications.
  • Mathematical Foundations: Dive into the mathematics that powers Machine Learning models, ensuring a solid understanding beneath your code.
  • Hands-On Coding: Start coding in Python from the very beginning, learning best practices as you go.
  • Real-World Assignments: Apply what you've learned with practical assignments that bring concepts to life.
  • Python Data Science Libraries: Master essential libraries like Pandas, NumPy, and Matplotlib for data manipulation and visualization.
  • Machine Learning Libraries: Deepen your expertise with Python Machine Learning libraries such as SKlearn & Gym.

📚 Course Structure:

  1. Algorithm Introduction: Learn the intuition behind algorithms and how they're used in real-world scenarios.
  2. Mathematical Foundations: Uncover the mathematics that underpins Machine Learning models.
  3. Python Programming: Develop your Python skills from scratch, ensuring a strong coding foundation.
  4. Practical Assignments: Roll up your sleeves and get hands-on experience with machine learning tasks.
  5. Data Science Libraries: Explore the capabilities of Pandas, NumPy & Matplotlib for data analysis and visualization.
  6. Machine Learning Libraries: Expand your knowledge with SKlearn & Gym, applying algorithms to real-world problems.

🔍 Course Topics Covered:

  • Linear Regression: Simple, Multiple, Polynomial, Lasso, Ridge
  • Classification Algorithms: Logistic Regression, K-Nearest Neighbors (K-NN), Support Vector Machines (SVM), Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Clustering Techniques: Hierarchical Clustering, K-Means Clustering
  • Dimensionality Reduction: Principle Component Analysis (PCA)
  • Data Handling with Pandas
  • Data Visualization with Matplotlib
  • Evaluating Models' Performance

📈 Continuous Updates & Bonus Resources:

  • Regular Course Updates: This course is not static! We continuously integrate new algorithms and assignments to keep you at the cutting edge of Machine Learning.
  • Python Code Templates: Receive downloadable templates to use in your own projects, saving you time and effort.

Start your Machine Learning & Data Science adventure today with SkyHub Academy! 🚀📚

Enroll now and embark on a journey that will transform your coding skills, deepen your understanding of machine learning, and prepare you for the challenges of tomorrow. 🤯✨

Don't wait to be part of this exciting field – join us, and let's make data science dreams come true together! 🎉💫

Course Gallery

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udemy ID
18/11/2018
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26/02/2020
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