Rohit Ingole's Projects
This is a reinforcement learning based project where multiple agents are created and trained to learn the play the flappy bird game.
This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.
This is a Deep-Q Learning based AI Snake Game where the Model Incrementally Learns and Improves to Play the Game.
This is a Kaggle Dataset with information about Bank Note and Classify whether the Bank Note is Authentic or Not. This Dataset is based on Classification problem solved using Sklearn Classification Algorithms.
GitHub repo showcasing a SVM-based Iris flower species classifier. Leveraging BentoML for model deployment and Swagger API integration. Trained on the Iris dataset with 150 instances from 3 species. Ready for collaborative contributions.
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
Cars-Data-API: A comprehensive API built on Django and Django Rest Framework, featuring dummy data for Cars, Car Categories, and Car Parts. This project facilitates seamless integration with SwaggerUI for efficient testing.
This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.
This is Data Cleaning Exercise performed using Python on Data in a csv file.
In this Exercise a partial cleaning and the reordering of column headings has been done in excel and rest cleaning done in Python.
Welcome to the Data Structures and Algorithms repository! This repository is a collection of Python implementations for various data structures and algorithms. I created this repository by following the YouTube playlist of Love Babbar Code Help channel, which has been a valuable resource for learning and understanding these fundamental concepts.
Github public profile repository.
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bird calls in the the audio.
This is a Dataset from Kaggle for practicing NLP using nltk. The tweets are classified based on the sentiments of the tweets. I used CountVectorizer to convert text to vectors to be put in Classification model.
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 management system and Docker for containerization, this project provides a comprehensive platform for managing various aspects of an online store.
This GitHub project is a Django-GraphQL application using the Graphene package, enabling efficient CRUD operations with CORS and Djagno-GraphQL-Auth for JWT Authentication.
This is a comprehensive Django that takes you from a beginner to an advanced level. You can follow the commits in this repository sequentially to see all the changes made step by step to achieve the full functionality of the app.
My Django Rest Framework learning project encompassed generic API view classes, permissions, authentication methods including token-based and JWT, CORS handling, task scheduling, etc., providing a comprehensive understanding of RESTful API development.
This repo contains multiple simple and complex End to End DataScience Projects crated using Python and Streamlit and hosted on Heroku and Streamlit.
An interactive Farming ChatBot powered by advanced natural language processing, offering tailored assistance for agriculture-related queries and tasks. Seamlessly integrating with Streamlit and leveraging Hugging Face Chat API for a user-friendly experience.
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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.
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
This Repo contains file to control Hill Climb Racing using Hand Gesture. This uses OpenCV and Mediapipe for Hand Gesture Detection and pynput module to simulate keyboard events.
This dataset is taken from kaggle which has various feature of over 600+ humans. By using these features we have to predict if the person has a Heart Disease or not.
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
This repository contains the code for learning basics of FastAPI with Docker containers and images. The repository uses alembic and sqlalchemy to make migrations and migrate change to the database.
Explore the world of Modular Mojo, a dynamic and expressive programming language designed for simplicity and modularity. This GitHub repository contains a comprehensive Jupyter notebook that serves as your gateway into the fundamentals of Modular Mojo programming.
Explore my journey of learning PyTorch through a series of hands-on projects! This GitHub repository showcases my progress in mastering PyTorch fundamentals, including linear regression, multi-class classification, non-linear activation functions, CNN for Fashion MNIST, transfer learning, and model deployment.