Learn Data Science using Python

Another post starts with you beautiful people! I hope you have enjoyed and learned something new from my previous three posts about machine learning model deployment. In one post we have learned  How to deploy a model as FastAPI?  I n the second post, we have learned  How to deploy a deep learning model as RestAPI ? and in the third post, we have also learned  How to scale your deep learning model API?   If you are following my blog posts, you have seen how easily you have transit yourselves from aspiring to a mature data scientist. In this new post, I am going to share a new framework-  Streamlit which will help you to easily create a beautiful app with Python only. I will show here how had I used the Streamlit framework to create an app for my YOLOv3 custom model. What is Streamlit? Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours!  All in pure Python. All for f

Another post starts with you beautiful people! Today an interesting deep learning challenge is finished in  HackerEarth  and I got 91.17026 mAP score in the leader board. One drawback I see in HackerEarth is due to small dataset many participants manually prepare the submission files and show 100% score in the leader board. Many aspiring data scientists see this and become nervous. Even with getting score 75+, they become demotivated and leave their experiments in between the challenge. Also the winning approach is not disclosed after the challenge. With this post I will try to motivate my all aspiring data scientists and I will share my solution so that in their next challenge they can easily get 85+ score or even 92+ score :) Problem statement An event management company organized an evening of Indian classical dance performances to celebrate the rich, eloquent, and elegant art of dance. After the event, the company plans to create a micro site to promote and raise awareness a