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This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

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Becoming-ML_engineer

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, either way, I believe this will add value to any data professional / enthusiast.

Projects

ML Research Contributions

Hackathons/ Datathons

100daysofmlcode

They say that the process has to be more fun than the journey. So, I decided to document everything while having all that fun. Find my learning from each day when I took #100daysofmlcode challenge here: @manvimadan.ai

100daysofdeeplearning

I dedicated 100 days exploring deep learning through mini-projects, research papers, books and shared my everyday learnings with the community.

Books

Mathematics

Statistical Learning

Deep Learning

Research Papers

I maintain a repository of research papers that I am reading during my journey and you can access those paper here for your reference: ML Research Papers

Here are the titles of some of them:

Courses

Machine Learning

Mathematics for Machine Learning Specialization - Certificate

  1. Course: Linear Algebra
  1. Course: Multivariate Calculus
  • Assignments undertaken : Github Repository
  • Certificate : Link
  • Skills Gained : Linear Regression, Vector Calculus, Multivariate Calculus, Gradiet Descent

3.Course: PCA

  • Assignments undertaken : Github Repository
  • Certificate : Link
  • Skills Gained : Dimensionality Reduction, Python Programming, Linear Algebra

Deep Learning Specialization

NLP Specialization

Algorithms [IN PROGRESS]

Responsible AI [IN PROGRESS]

Interesting Blog Posts

  • An Overview of Deep Learning - Link
  • Types of Neural Networks - Link
  • Understanding activation function in Neural Networks - Link
  • Optimizing Gradient Descent -Link
  • Everything you need to know about Computer Vision - Link
  • Viola Jones Algorithm for face detection - Link
  • OpenCV3 Object Detection - Link
  • SSD - Link
  • Restricted Boltzmann Machines - Link
  • RBM - Link
  • RNN - Link
  • Benjamin , movie wrote by AI - Link
  • Explainable AI - Link
  • Explainable AI, Royal Society ppt - Link

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This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

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