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Master the skills to use machine learning in your day-to-day work with this Python course. Create algorithms to predict classes, continuous values, and more.
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written by Pierian Training founder Jose Portilla!
This course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Machine Learning. With a focus on SciKit Learn, you’ll learn all aspects of Machine Learning ranging from a variety of regression types (Linear / Lasso /Ridge), Elastic Net, K Nearest Neighbors and Means Clustering, Hierarchal Clustering, DBSCAN, PCA, and Model Deployment.
Machine Learning concepts
Machine Learning Methods – All in Theory and Practice
Unsupervised Learning Methods
Feature Engineering and Data Preparation
Experienced Python developers looking to understand a wide variety of machine learning algorithms, including supervised and unsupervised learning algorithms.
This machine learning course is designed for experienced python developers who want to learn the theory and application of a large variety of machine learning methods. Starting from simple linear regression, this training takes students through a tour of the most popular machine learning models used in practice. The course focuses on teaching students how to unlock the power of the Scikit-Learn Python library. Students will learn how to choose a model, train the model on data, and evaluate and tune the model for deployment.
This has been the course that has laid the foundation in my career as a data scientist.
Linda Mukami
Best instructor very knowledgeable and teaching style is very impressive. This is my third course with him and every course is great very helpful. Thanks
Ahsan Parvez
Provides knowledge and mathematical background on the main ML models. You'll learn very helpful coding tips as well as good practice for each model so definitely an invaluable course
Fraggle Baggle
The course is all inclusive. Almost everything you need to become data scientist at that cheap price.
Fatai Jimoh
The course is very easy to follow and very well paced.
Augmented Startups
A good introduction to the fundamentals of machine learning and its application.The data analytics and visualization tools are proving to be very useful for my class projects.
Shine Bedi
Taking it slow and steady so far, explaining all the tiny bits of Jupyter Notebook nicely
Rachit Toshniwal
Yes, definitely an excellent course. Keep up the good work!
Linmu Liu
Exceptional Course. Cannot recommend this course enough. Just the exercises and walkthroughs alone are enough to enroll. One of my favorite data science courses I've ever enrolled in. Jose is an exceptional teacher. Would recommend to anyone seriously interested in learning about Data Science from the ground up in Python
Alexander Mason
A very useful course for those who know the theory of statistics and want to learn how to apply it in Python. All knowledge is given by examples. Very interesting and useful practical exercises.
Kate Chernyavskaya
Learn directly from our expert instructors via live webinar. Also includes the full video-on-demand course.
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