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Best Machine Learning Courses

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Best Machine Learning Courses for beginners
Best Machine learning Courses to learn in 2022

Are you looking for the Best Machine Learning Courses for beginners and Advanced to learn. If yes, then this Best Machine learning Courses to learn is for you. In this article you wil find the 5 Best machine Leanring course to learn.

5 Best Machine Learning Courses for Beginners & Advanced

Machine Learning (Andrew NG) – Coursera

This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. You can Learn Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), Unsupervised learning (clustering, dimensionality reduction, recommender systems, Best deep learning Books) and Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), Best computer vision Courses, medical informatics, audio, database mining, and other areas.

In this course you will learn Introduction to Machine leanring, Linear Regression with One Variable, Linear Algebra Review, Linear Regression with Multiple Variables, Octave/Matlab Tutorial, Logistic Regression, Regularization, Neural networks (Representation, and Learning), Advice for Applying Machine Learning, ML System Design, Support Vector machines, Unsupervised learning, Dimensionality Reduction, Anomaly Detection, Large Scale ML, Application Example: Photo OCR

Best for: Beginners | Provider: Stanford  | Instructor: Andrew NG

Rating: 4.9  | Course Duration: 61hrs | Total Courses: 18

Pricing: $39/month

Info: for more Visit the Website for Financial aid and Discounts on this course

Machine Learning Specialization – Coursera

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.

You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Courses:

  • Machine Learning Foundations
  • Regression
  • Classification
  • Clustering and Retrieval

Best for: Beginners and Intermediate | Provider: University of Washington  | Instructor: Emily, Carlos

Rating: 4.7  | Course Duration: 4 – 7months | Total Courses: 4

Pricing: $39/month (Financial aid Available)

Info: for more Visit the Website for Financial aid and Discounts on this course

Machine Learning with Python – Coursera

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.

In this course, we will be reviewing two main components.First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. 

In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

Topics Include:

  • Introduction to ML
  • Regression
  • Classification
  • Clustering
  • Recommender System
  • Final Project

Best for: Beginners and Intermediate | Provider: IBM  | Instructor: Saeed, Joseph Santarcangelo

Rating: 4.7  | Course Duration: 22hrs | Total Courses: 6

Pricing: $39/month (Financial aid Available)

Info: for more Visit the Website for Financial aid and Discounts on this course

Machine Learning Scientist with Python – DataCamp

Master the essential skills to land a job as a machine learning scientist! You’ll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance.

In the process, you’ll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

Courses:

  • Supervised Learning with scikit Learn
  • Unsupervised Learning with Python
  • Linear Classifiers in Python
  • Machine Learning with Tree based models in Python
  • Cluster Analysis in Python
  • Dimensionality Reduction in Python
  • Preprocessing for ML in Python
  • And other courses

Best for: Beginners and Intermediate | Provider: DataCamp  | Instructor: Hugo, Mike and others

Course Duration: 93hrs | Total Courses: 23

Pricing: $5/month

Info: for more visit the Website to get a 60% discount if you are a student

Machine Learning A – Z: Hands on Python and R in Data Science – Udemy

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Skills you will Learn:

  • Have a great intuition of many Machine Learning models
  • Make powerful analysis
  • Make robust Machine Learning models
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem

Best for: Beginners | Provider: Udemy  | Instructor: Kirill

Rating: 4.5 | Course Duration: 44hrs | Total Courses downloadable resources: 38

Pricing: $7

Info: for more details Visit the Website to get discount

Conclusion:

I hope these 5 Best Machine learning Courses for Beginners & Advanced will help you enhance your ML skills.

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