I am Machine learning and Deep learning enthusiastic with main interest in Computer Vision. I love learning new things and writing about the technologies I know. I have good experience in Python, C++, Flask, and Django. I occasionally write blogs related to Machine & Deep Learning
Microsoft technology assosiate Professional Exam for Programming in Python
Famous Machine Learning course by Stanford at coursera by Andrew Ng. Learned Various Machine Learning Algorithms, thier implementation and practical usage of them
CS230 Deep Learning course by Stanford which includes Deep Learning Specilization by Deeplearning.ai as its course work
A Complete Learning Path for Begginers to start their career in Machine Learning
A guide on how to implement Text-to-Speech in C++
A complete repository with documentation containing all the work for Getting Started with Tensorflow 2
An article to get started with Tensorflow 2
A guide for people who have extra time in Quarantine to start thier career in Data Science and Machine Learning
Complete Guide to set up Google Colab enviorment for Deep Learning
Complete Guide to Pandas, a famous data visualization library for Deep Learning
An article on Sigmoid Function with implementation in PyTorch
I have always been fascinated by Reinforcment Learning &Autonomus Vehicles and always wanted to make a career in Reinforcment Learning / Autonomus Vehicles. I plan to learn these technologies in upcoming years and implement them and try to make state of art things using these technologies
Apart from being a machine learning engineer, I enjoy most of my time being learning new books and doing Moocs.I love reading research papers and reimplementing them. I also write articles some times and learn about new things.
I also love playing basketball.I also love gaming especially startegic games such as Dota 2.