What you'll learn:

Machine Learning with Python

Data Science with Python

Requirements

Basic Python Knowledge (capable of functions)

Description

Early Bird Release for the full upcoming 2021 Python for Machine Learning and Data Science Masterclass!

Please note! This is currently in an Early Bird Beta access, meaning we are still going to be continually adding content to the course (even though we are already at over 20 hours of content!) Since we're still adding content and taking student feedback as we complete the course through the start of 2021, students who enroll now will get access to a wide variety of benefits!

What do you get with Early Bird Access?

You will get exclusive access to weekly live video streams where we will go through interactive machine learning projects! You'll be able to directly ask questions during the streams that will coincide with section launches corresponding to new machine learning algorithms added to the course content! These weekly streams will also include live Q&A with the instructor of the course, Jose Portilla. We will also be taking in student feedback to shape certain upcoming streaming projects. These streams will only be accessible to early bird students, and will be removed once the course is fully complete and launched!

What is in the course?

Welcome to the most complete course on learning Data Science and Machine Learning on the internet! After teaching over 2 million students I've worked for over a year to put together what I believe to be the best way to go from zero to hero for data science and machine learning in Python!

This comprehensive course is designed to be on par with bootcamps that usually cost thousands of dollars, the final course will include the following topics:

Programming with Python

NumPy with Python

Deep dive into Pandas for Data Analysis

Full understanding of Matplotlib Programming Library

Deep dive into seaborn for data visualizations

Machine Learning with SciKit Learn, including:

Linear Regression

Regularization

Lasso Regression

Ridge Regression

Elastic Net

K Nearest Neighbors

K Means Clustering

Decision Trees

Random Forests

Natural Language Processing

Support Vector Machines

Hierarchal Clustering

DBSCAN

PCA

Manifold Learning

Model Deployment

and much, much more!

As always, we're grateful for the chance to teach you data science, machine learning, and python and hope you will join us inside the course to boost your skillset!

Who this course is for

Beginner Python developers curious about Machine Learning and Data Science with Python

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