Name: Debmalya Sur
Type: User
Company: Samsung Research Institute, Bangalore
Bio:
Upcoimg Advanced Research Developer @Samsung 🔥 | 🧮 Passionate about Computer Science | 👨🏻💻 Software Development | 📚 Consistent Learner
Twitter: DebmalyaSur
Location: Kolkata, India
Blog: https://surdebmalya.github.io/
Debmalya Sur's Projects
In this project I have made a Memorization game and named it as 'Memorization Power'.
Coursera Andrew Ng Machine learning course
The project is pretty simple and everyone has done the project, but this particular kernel is been uploaded because of its accuracy!
Here we have made a convertor that will convert a morse code to its equivalent english language and vice versa also.
In this Machine Learning project, I have worked on a Kaggle dataset of 'MRI and MRI and Alzheimers'.
It's a oWo Translator, a small project.
Here I try to make a Code that can make a file whose name is not associated with any other files in that directory.
You have to generate password based on some criteria those are being mentioned by the user
It is a post recommendation system.
It was my first attempt to participate in an ALL India based Hackathon.
You are given a 30 years of data consisting of one independent variable named 'Years Of Experience'. The target variable is 'Salary'.
All Algorithms implemented in Python
It is the repository for the playlist Python for absolute beginner
Let's make a Rock Paper Scissor Game
In this project I have implemented SegNet, one of the well known segmentation model for image clustering.
It's a project associated with the Indian Institute of Technology, Dhanbad under the Internet of Things (CSD513) course.
In this project, we have to tell whether a person has bought through a ad or not.
Here, I create a Students' Registration System by Python. For front end I have used tkinter, one of the mostly used python module for front-end development and for back-end I have used sqlite3
My Resume
https://the-blockchain-starter.surdebmalya11.repl.co/
You are given the data set of Titanic passengers, with the survived column, where 0 means the person couldn't survive and 1 means that the person had survived. You have to split the data set into test part and train part and have to generate a model to perform this tadk