About meI did my bachelors at PBR VITS, Kavali in Computer Science and Engineering. I loved the Python Programming in workshop and later i joined the Course on Python Programming in Igate Solution for 6 months. There, I started exploring the world of Python and to Machine Learning and Started my journey in Data Science. I have started my unconventional journey in Data Science and I have done some projects on it. Later i have enrolled courses on Machine Learning and Advanced Deep Learning. I have cleared my IBM Professional Data Science Exam from Coursera.
A few things about me. I love to watch science fiction and fantasy movies. I love to explore new things that are evolving in our world. If it seems any interesting, i definitely try to go in deep into that.
I applied some computer vision tasks for realtime scenarios.
I apply text analytics to some of the hardest questions in business.
I am passionate about learning the theory that is pushing the cutting edge of ML.
I enjoy working with my team to create winning strategies.
Data Analytics as the heart of Data Science. The Most important thing is to understand the data and we have to perform analytics on it.
Take a look at my recent work.
An Image Enhancer using Deep Neural Network by implementing Real-ESRGAN, a variant of SRGAN
VIZDOOM is a Reinforcement Environment for DOOM Game. I trained an AI Bot to play and run in the game by using Reinforcement Algorithms and for some levels i use (Curriculam Learning, a part of RI)
This project demonstrates about how to use Google Cloud Speech API to recognize voice and convert it to text. By Using Streaming API, it can recognize voice in real time. and can also convert the text into 18 different languages
This is a QA and summerization Web App built on Streamlit that allows you to quickly and easily create a Paraphrasing and summerization of your QA data. It uses Huggingface Transormers.
A Deep Learning Image Classification Model that detects Fire and Smoke in an image. It uses a pretrained model and a custom model to detect the Fire and Smoke.
The Heart Attack Prediction App is an ML App that predicts the Heart Attack risk of a patient based on the data. It uses Machine Learning Algorithms(SVC - 95.7%) to predict the risk of heart attack.
Take a look at my recent writings.
The Intention of this blog is to demonstrate the way i have created and deployed a Simple Language Detection Model in Heroku.
This blog is about what are Upsampling and Transposed Convolutions layers and how they works.
A blog post on how Machine Learning Models Decay in realtime and in understandable way.
The Linear Regression describes the relationship between Dependent Variable(s) and Independent Variable(s).
Logistic Regression is a classification algorithm. “Then Why the hell all of us calling its Logistic Regression and Why not Logistic Classification”.
The Decision Tree is a supervised Machine Learning model which is used for both Classification and Regression tasks. .
The Decision Tree is a supervised Machine Learning model which is used for both Classification and Regression tasks.
