Skip to content
View DataRohit's full-sized avatar
💭
Learning
💭
Learning
30 followers · 22 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report DataRohit

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DataRohit/README.md

Hi there 👋

datarohit

  • 🔭 I’m currently working on Django, Django REST Framework, Machine Learning and Deep Learning
  • 🌱 I’m currently learning Django, Backend Development, Audio and Image Processing for Deep Learning.
  • 🤔 I’m looking for help with Django Developlement and Deep Learning.
  • 💬 Ask me about Python, Django, Django REST, Machine Learning, Deep Learning
  • 📫 How to reach me - @Rohit Ingole, Kaggle , Carrd


Pinned Loading

  1. Stockastic Stockastic Public

    Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

    Jupyter Notebook 11 25

  2. AI-Flappy-Bird-Game AI-Flappy-Bird-Game Public

    This is a reinforcement learning based project where multiple agents are created and trained to learn the play the flappy bird game.

    Python 1

  3. Django-Ecommerce-Database-Design Django-Ecommerce-Database-Design Public

    This Django-based E-commerce project is designed to offer a robust and scalable solution for online retail businesses. Leveraging Django's powerful framework, along with PostgreSQL database managem…

    Python 3

  4. FIFA-2020--Data-Analysis FIFA-2020--Data-Analysis Public

    This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.

    Jupyter Notebook 1