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• Basic Python Knowledge 

We are grateful for the opportunity to teach you data science, machine learning, and Python. Join us in this course to enhance your skillset!

 online course offers comprehensive and extensive learning materials on Python, Data Science, and Machine Learning. Join Jose Portilla's community of over 3 million students and explore the future of these fields today!

Course Content:

Welcome to the most comprehensive online course for learning Data Science and Machine Learning. With over 2 million students taught, I have dedicated over a year to curate the best learning path for mastering data science and machine learning using Python.

This course is designed for students who already possess a basic understanding of Python and are eager to delve deeper into its applications in Data Science and Machine Learning. Data scientists often earn lucrative salaries, with starting salaries exceeding $150,000. Thus, we have crafted this course to equip students with highly desirable skills in today's job market.

We cover all the essential components of the data science and machine learning tech stack required by leading companies worldwide. Our students have successfully secured positions at prestigious companies like McKinsey, Facebook, Amazon, Google, Apple, Asana, and other top tech firms. Leveraging our experience in online and in-person teaching, we have created a clear and structured approach that not only teaches how to utilize data science and machine learning libraries but also explores the underlying mathematical theories behind these algorithms. The course strikes a balance between practical real-world case studies and theoretical understanding.

In addition to commonly covered topics, this course delves into advanced machine learning algorithms that are often overlooked by other courses. We explore sophisticated regularization methods and state-of-the-art unsupervised learning techniques, such as DBSCAN.

This comprehensive course is on par with bootcamps that typically cost thousands of dollars. It covers the following topics:

1.         Python programming

2.       NumPy for Python

3.       In-depth exploration of Pandas for data analysis

4.       Comprehensive understanding of the Matplotlib programming library

5.       Deep dive into seaborn for data visualizations

6.       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

·         Hierarchical Clustering

·         DBSCAN

·         PCA

·         Model Deployment

·         And much more!

We are grateful for the opportunity to teach you data science, machine learning, and Python. Join us in this course to enhance your skillset!