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| File Name: | A Foundation For Machine Learning and Data Science |
| Content Source: | https://www.udemy.com/course/a-foundation-for-machine-learning-and-data-science/ |
| Genre / Category: | Programming |
| File Size : | 2.8 GB |
| Publisher: | udemy |
| Updated and Published: | January 16, 2024 |
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.
DOWNLOAD LINK: A Foundation For Machine Learning and Data Science
A_Foundation_For_Machine_Learning_and_Data_Science.part1.rar – 995.0 MB
A_Foundation_For_Machine_Learning_and_Data_Science.part2.rar – 995.0 MB
A_Foundation_For_Machine_Learning_and_Data_Science.part3.rar – 877.8 MB
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