10 Best Supervised Machine Learning Courses and Certifications Online 2023

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There are countless online courses and classes that will assist you improve your Supervised Machine Learning abilities and earn your Supervised Machine Learning certificate.

In this post, our specialists have assembled a curated list of the 10 Best of the Best Supervised Machine Learning courses, tutorials, training programs, classes and certifications that are available online right now.

We have included only those courses that fulfill our top quality standards. We have put a lot of time and effort into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Supervised Machine Learning Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Data Science: Supervised Machine Learning in Python Our Best Pick	19082+	2486+
2. Supervised Machine Learning From First Principles	8993+	23+
3. Supervised Learning for AI with Python and Tensorflow 2	3433+	25+
4. Machine Supervised Learning: Regression in Python 3 and Math	3076+	25+
5. The Complete Supervised Machine Learning Models in Python	2007+	130+
6. Classification Models: Supervised Machine Learning in Python	1006+	4+
7. The Supervised Machine Learning Bootcamp	583+	16+
8. Supervised Machine Learning for beginners	152+	41+
9. Supervised Machine Learning in Python	77+	8+
10. Machine Learning (Simply Explained by a Data Scientist)	2+	1+

1. Data Science: Supervised Machine Learning in Python by “Lazy Programmer Team, Lazy Programmer Inc.” Udemy Course Our Best Pick

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

As of right now, more than 19082+ people have enrolled in this course and there are over 2486+ reviews.

Course Content

Introduction and Review
K-Nearest Neighbor
Naive Bayes and Bayes Classifiers
Decision Trees
Perceptrons
Practical Machine Learning
Building a Machine Learning Web Service
Conclusion
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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2. Supervised Machine Learning From First Principles by Houston Muzamhindo Udemy Course

Discussing the principles behind the most used Machine Learning algorithms

As of right now, more than 8993+ people have enrolled in this course and there are over 23+ reviews.

Course Content

Introduction to Machine Learning
Introduction to Statistical Learning
Linear Regression
Classification
Validation and The Bootstrap Methods
Linear Model Selection and Regularization
Tree Based Methods

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3. Supervised Learning for AI with Python and Tensorflow 2 by Jeremy Richard Lai Hong Udemy Course

Uncover the Concepts and Techniques to Build and Train your own Artificial Intelligence Models

As of right now, more than 3433+ people have enrolled in this course and there are over 25+ reviews.

Course Content

Introduction
The Basics
Feedforward Neural Networks
Convolutional Neural Networks
Sequential Data
Conclusion

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4. Machine Supervised Learning: Regression in Python 3 and Math by Ahmed Attia Udemy Course

Master Regression Algorithm as it provides a base for you to build on and learn other ML algorithms.

As of right now, more than 3076+ people have enrolled in this course and there are over 25+ reviews.

Course Content

Simple Linear Regression
Multiple Linear Regression
Ridge & Lasso Regression
Polynomial Regression
Decision Trees & Random Forests Regression

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5. The Complete Supervised Machine Learning Models in Python by Data Science Academy Udemy Course

Learn the Intuition and Math behind Every Model

As of right now, more than 2007+ people have enrolled in this course and there are over 130+ reviews.

Course Content

Introduction
Simple Linear Regression Model
Simple Linear Regression implementation in Python
Multiple Linear Regression Model Intuitions
Multiple Linear Regression Model implementation in Python
Polynomial Regression Model Intuitions
Polynomial Regression Model implementation in Python
Ridge Regression Model Intuitions
Ridge Regression implementation in Python
Lasso Regression Model Intuition
Lasso Regression implementation in Python
Decision Tree Regression Model Intuition
Decision Tree Regression implementation in Python
Random Forest Regression Model Intuition
Random Forest Regression implementation in Python
K Nearest Neighbors Model
K Nearest Neighbors implementation in Python
Logistic Regression Model
Logistic Regression implementation in Python
Decision Tree Classification Model
Decision Tree Classification implementation in Python
Random Forest Classification Model
Random Forest Classification implementation in Python
The Naive Bayes Classification Model
Naive Bayes implementation in Python
Support Vector Classification Model
Support Vector implementation in Python

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6. Classification Models: Supervised Machine Learning in Python by Karthik K Udemy Course

A Quick Way to Learn and Implement Classification AI Algorithms in Python. A Course for Beginners.

As of right now, more than 1006+ people have enrolled in this course and there are over 4+ reviews.

Course Content

Fundamentals
Building and Evaluating Classification ML Models

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7. The Supervised Machine Learning Bootcamp by 365 Careers Udemy Course

“Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs”

As of right now, more than 583+ people have enrolled in this course and there are over 16+ reviews.

Course Content

Introduction
Setting up the Environment
Naïve Bayes
K-Nearest Neighbors
Decision Trees and Random Forests
Support Vector Machines
Ridge and Lasso Regression

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8. Supervised Machine Learning for beginners by Ro Science Udemy Course

“kick start your machine learning journey with supervised learning for beginners, python, jupyter and scikit-learn!”

As of right now, more than 152+ people have enrolled in this course and there are over 41+ reviews.

Course Content

Introduction
Classification problems
Data analysis and preparation
Model testing and evaluation
Linear models
K nearest neighbors
Decision trees and random forests
Conclusion
Appendix

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9. Supervised Machine Learning in Python by Gianluca Malato Udemy Course

A practical course about supervised machine learning using Python programming language

As of right now, more than 77+ people have enrolled in this course and there are over 8+ reviews.

Course Content

Introduction to supervised machine learning
The tools used in this course
Linear models
Decision trees
K-nearest neighbors
Naive Bayes
Support Vector Machines
Neural Networks
Introduction to ensemble models
Ensemble models: bagging
Ensemble models: boosting
Ensemble models: voting
Ensemble models: stacking
Performance evaluation
Cross-Validation and hyperparameter tuning
Feature importance and model interpretation
Recursive Feature Elimination
Practical examples in Python
Persisting our model
Practical approaches

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10. Machine Learning (Simply Explained by a Data Scientist) by CryptoShare Wealth Institute Udemy Course

Learn how Machine Learning actually works!

As of right now, more than 2+ people have enrolled in this course and there are over 1+ reviews.

Course Content

Intro to Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Reinforcement Machine Learning

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Here are some frequently asked questions about learning Supervised Machine Learning

How Long Does It Take to Learn Supervised Machine Learning?

The answer to the question “How long does it ttake to learn Supervised Machine Learning” is … it depends. Everybody has different needs, and everyone is working in different situations, so the answer for someone may be totally different than for somebody else.

Think about these questions: What are you trying to Learn Supervised Machine Learning for? Where is your beginning point? Are you a novice or do you have experience with Supervised Machine Learning? How much can you practice? 1 hour per day? 40 hours per week? Check out this course about Supervised Machine Learning.

Is Supervised Machine Learning Easy Or Hard to Learn?

No, learning Supervised Machine Learning isn’t hard for many people. Check this course on how to Learn Supervised Machine Learning in no time!

How to Learn Supervised Machine Learning Fast?

The fastest way to Learn Supervised Machine Learning is to first get this Supervised Machine Learning course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is essential.

Where to Learn Supervised Machine Learning?

If you want to explore and learn Supervised Machine Learning, then Udemy provides you the best platform to learn the Supervised Machine Learning. Check this course on how to Learn Supervised Machine Learning in no time!

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