ML001 Machine Learning(Theory + Practical)

Machine learning will automate jobs that most people thought could only be done by people. 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.


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Instructors

Ayush Singh

Instructor Information


Ayush Singh

Ayush Singh

Data Scientist at Artifact

“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.”

Course Information


  • This course ML001 designed for the beginners and covering from basics to advanced level.
  • 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.You can ask your questions in our discord community.
  • The course Materials are in Learning Materoals page and syllabus is in syllabus section.
  • If you find errata, or need any personal help you can email to intelligentprogrammer123@gmail.com .

Course Prerequisites


Students are expected to have some familarity with the basics of python as well as basic algebra and linear algebra.