2021 Python for Machine Learning & Data Science Masterclass
What you'll learn
- Machine Learning with Python
- Data Science with Python
Course content
- 00:21EARLY BIRD INFO
- Preview04:17
- 13:49Anaconda Python and Jupyter Install and Setup
- 00:34Note on Environment Setup - Please read me!
- 09:08Environment Setup
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!
-Jose and Pierian Data Inc. Team
Who this course is for:
- Beginner Python developers curious about Machine Learning and Data Science with Python
Featured review
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Instructor
- 4.6 Instructor Rating
- 745,715 Reviews
- 2,284,873 Students
- 32 Courses
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.