2021 Python for Machine Learning & Data Science Masterclass ( Updated 05/2021)

Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

Basic Python Knowledge (capable of functions)

This is the most complete course online for learning about Python, Data Science, and Machine Learning. Join Jose Portilla's over 2 million students to learn about the future today!

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 course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Data Science and Machine Learning. The typical starting salary for a data scientists can be over $150,000 dollars, and we've created this course to help guide students to learning a set of skills to make them extremely hirable in today's workplace environment.

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!

-Jose and Pierian Data Inc. Team

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



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