tebellox / ml001-project-sources-code-and-learning-materials

ML001 Sources Code and Learning Materials

ML001 (ML In Depth)

In this course, you will learn from basics of machine learning to advanced level in machine learning, you will understand both theory + practical, you will work on building real world machine learning systems, and formulating the machine learning problem, we covered everything one needs to know about machine learning talking about theory as well as practicals. Students also given problem sets that contains both technical and theoretical questions. It takes a lot of time to develop all of this, it will be very helpful for me if you watch this course on Newera and subscribe the channel.

This Course is developed by Ayush Singh by Newera, Subscribe this channel for further courses.

Course Website:- https://ml001.netlify.app/ ML001 Syllabus:- https://ml001.netlify.app/pages/syllabus.html

About the Instructor:-
Ayush Singh

I am a Data Scientist Intern at Artifact and ML Engineer at Omdena. I am CEO and Founder of Antern and Newera. I have worked in numerous AI fields. I am a 3* Coder at CodeChef.

Connect me on Linkedin, Instagram, Twitter

Folders Information:-

• ML001 Lecture Notes:- All the notes by the community.
• ML001 Problem Sets:- All the Problem Sets
• ML001 Other Materials:- It contains Erratas in the video lectures.

Contributing Guidelines:-

• If you're learning from ML001, you can makes notes in your notebook and contribute to our ML001 Lecture Notes folder.

Stuck in the course::-

Join our discord community to ask your questions and share your projects.