Course Outline
Machine Learning has become the modern day technology with Data Scientist being declared as the best job of the 21st century. The aim of this course is to give the initial push required to get into any new technology. After completing this course, you will be able to do a complete project in Machine Learning all by yourself and can delve into the deep algorithms and neural networks.

The course initially covers the baiscs of Python from writing the first command in Python to covering essential packages, Statistics, basic mathematics and then covering all the basic ML algorithms, Case Studies for every topic and at last one industry project which will have the practical implementation of all the topics covered in course.
This course is for the beginners and thus has no Pre-requisites. Anyone who wishes to learn Machine Learning can join this course.
  • 1. Introduction to Python Fundamentals

  • 2. Inferential Statistics

  • 3. Data Visualisation

  • 4. Exploratory Data Analysis

  • 5. Linear Regression

  • 6. Multiple Linear Regression

  • 7. Amazon Prime Case Study

  • 8. KNN, Naive Bayes & Logistic Regression

  • 9. Decision Tree, Random Forest & SVM5

  • 10. Ensembling & Unsupervised Learning

  • 11. Dimensionality reduction

  • 12. Final Project

MentorGrads training prgram for Machine Learning in Python is one of a kind with all the detailing covered and that too in very little time. All you need to do as a student is practice whatever they have taught and you will become a master in Machine Learning

MentorGrads were a part of teaching the AU grads in Accolite and they did a tremendous job in ensuring that the grads are provided with the much needed kick required for the transformation from students to Professionals.

I think so the course work was superb and to the point. I have already suggested them to open a full time training course as it would be in depth and it would be more fruitful.

The coursework and teaching method was good. I think so it is very cheap as compared to other institutions as the coursework of MentorGrads is similar to and better than most of the ML institutes. It is worth the investment.

It is always difficult to transfer to a different technology when working in a corporate and most of the institutions tend to charge high fees for AI. But with MentorGrads, I was able to gain the required knowledge to switch and that too at a fraction of cost.

I was fascinated by the amount of knowledge that can be retained from a 2 day workshop. It was an amazing experience and it made me realise that if teaching is done in a proper way and practiced well, we can grasp a lot. And as I personally know the team of MentorGrads. So Go rock MentorGrads!

Their 2 day workshop at IIT on Machine Learning was very informative. Although there were a number of students but still the mentors made sure that everyone in the room understood each and everything. Later on I also attended the Advanced ML with actual industry projects and it awakened my interest in ML & AI to a great extent.

I would like to suggest them to incorporate more technologies. Currently they focus mostly on ML & AI, I think they should explore Cyber Security and other fields as well. In a vast country like India, we need more such organisations to step up for a better understanding.

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