A Foundation For Machine Learning and Data Science
A solid foundational course for ML and Data Science with Python, Linear Algebra, Statistics, Probability, and OOPs.
A Foundation For Machine Learning and Data Science free download
A solid foundational course for ML and Data Science with Python, Linear Algebra, Statistics, Probability, and OOPs.
This course is designed by an industry expert who has over 2 decades of IT industry experience including 1.5 decades of project/ program management experience, and over a decade of experience in independent study and research in the fields of Machine Learning and Data Science.
The course will equip students with a solid understanding of the theory and practical skills necessary to learn machine learning models and data science.
When building a high-performing ML model, it’s not just about how many algorithms you know; instead, it’s about how well you use what you already know.
Throughout the course, I have used appealing visualization and animations to explain the concepts so that you understand them without any ambiguity.
This course contains 9 sections:
1. Introduction to Machine Learning
2. Anaconda – An Overview & Installation
3. JupyterLab – An Overview
4. Python – An Overview
5. Linear Algebra – An Overview
6. Statistics – An Overview
7. Probability – An Overview
8. OOPs – An Overview
9. Important Libraries – An Overview
This course includes 20 lectures, 10 hands-on sessions, and 10 downloadable assets.
By the end of this course, I am confident that you will outperform in your job interviews much better than those who have not taken this course, for sure.
