Top 10 machine learning courses

1. Machine Learning A-Z™: Hands-On Python & R In Data Science:   Course description:  + Instructor: Kirill Eremenko, Hadelin de Po...

1. Machine Learning A-Z™: Hands-On Python & R In Data Science:

 

Course description: 

+ Instructor: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support
+ Rated: 4.5*/5 (73,301 ratings)
+ 381,738 students enrolled
+ 30-Day Money-Back Guarantee
+ 41 hours on-demand video
+ 27 articles
+ 3 downloadable resources
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

What you'll learn:

+ Master Machine Learning on Python & R
+ Have a great intuition of many Machine Learning models
+ Make accurate predictions
+ Make powerful analysis
+ Make robust Machine Learning models
+ Create strong added value to your business
+ Use Machine Learning for personal purpose
+ 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
+ Build an army of powerful Machine Learning models and know how to

For more details and student reviews, pls click here

2. Free lessons: Machine Learning with Python

+ Learning method: Watch YouTube playlist 
+ Author: sentdex 



3. Machine Learning, Data Science and Deep Learning with Python

 

Course description: 

+ Instructor: Sundog Education by Frank Kane, Frank Kane
+ Rated: 4.5*/5 (13,127 ratings)
+ 86,716 students enrolled
+ 30-Day Money-Back Guarantee
+ 12 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

What you'll learn:

+ Build artificial neural networks with Tensorflow and Keras
+ Make predictions using linear regression, polynomial regression, and multivariate regression
+ Classify images, data, and sentiments using deep learning
+ Implement machine learning at massive scale with Apache Spark's MLLib
+ Understand reinforcement learning - and how to build a Pac-Man bot
+ Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
+ Use train/test and K-Fold cross validation to choose and tune your models
+ Build a movie recommender system using item-based and user-based collaborative filtering
+ Clean your input data to remove outliers
+ Design and evaluate A/B tests using T-Tests and P-Values

For more details and student reviews, pls click here

4. Free lessons: Machine Learning — Andrew Ng, Stanford University

+ Learning method: Watch YouTube playlist 
+ Author: Andrew Ng 



5. Free lessons: Machine Learning Tutorial in Python

+ Learning method: Watch YouTube playlist 
+ Author: Edureka 



6. Free lessons: Introduction to machine learning NPTEL Prof. S. Sarkar IIT Kharagpur

+ Learning method: Watch YouTube playlist 
+ Author: S. Sarkar IIT Kharagpur 



7. Free lessons: Machine Learning Tutorial Videos

+ Learning method: Watch YouTube playlist 
+ Author: Simplilearn 

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