I'm good at machine learning. Knowing there is so much out there which still needs to be explored drives me.
I've workded on various projects involving ML( Machine Learning) and DL( Deep Learning), Music Tagging,MRI classification, and Reminder application being few of them.I've worked with Neural Networks, Convolutional Neural Networks and Natural Language processing too. I was an intern at ExpertsHub where I developed a program which could dectect the speech and set reminders of user specified tasks in google calender. This problem helped me understand natural language processing and also I was able to understand how to use APIs. I was awarded the best intern and also got the 1st prize(team) for the program.
I've worked on few projects and most recent of them is GANs. I've developed a GAN of my own which produces spectrograms of music files.
I've also worked on CNNs, NLP, and ML algos. Recently I've shifted my focus on understanding the math behind every algo which I use. Once I'm well versed with the math behind ML, I want to give Reinforcement Learning a shot.
Machine learning and Artificial Intelligence is the future and I want to contribute my share to it. I don't want to miss any chance which helps me grow as an AI-ML developer.