:octocat:🌟 The Ultimate resources for beginner to advanced level projects all in one place 💻 🎯🚀

OCR bill detection is a python program that can detect the type of your household bills. for example, if you have samples of electricity bills, movie bills, or grocery bills, this python program detects the bill's category and stores the data in the bill into a file. Further Data visualization is done to monitor your monthly expense so that you can save wisely and track your spending.

🚃 Movie 🚋 Review 🚞 Analysis is 🚒 a Processing ✈ that 🛼 classifies 🚝 analyzes 🛬 movie reviews 🚀 as positive 🕌 negative 🏛 machine 🏨 learning and 🚠 deep 🚔 learning 🎳 techniques ⚽ it demonstrates ⚾ sentiment 🥎 analysis 🏀 can be 🏐 applied to 🏈 real world 🎮 text data 🏆 helping 🎃 users 📒 understand 📙 audience 📘 opinions 📕 scale

Stable-Diffusion-WebUI - NoteBook | Colab (Pro/Free), Kaggle.

A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.

Data Science MicroMasters Program from UC San Diego on edX

Dropship Project: ML-driven tool utilizing Random Forest classification to predict dropshipping suitability. Analyzes product parameters, empowering businesses with data-driven insights for efficient and profitable e-commerce decisions.

Streamline file uploads to Google Drive with ease. Experience real-time progress tracking while preserving file names.

This repository contains code for generating captions for images using a Transformer-based model. The model used is the `VisionEncoderDecoderModel` from the Hugging Face Transformers library, specifically the `nlpconnect/vit-gpt2-image-captioning` model.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a comprehensive machine learning project that guides users through the implementation of various algorithms and techniques, from basic linear regression to complex deep learning models. This repository includes code examples and Jupyter notebooks that demonstrate the concepts cov

MIT 6.S191: Introduction to Deep Learning Labs from Zero to Hero.

iNeuron-Notes classes

In this Notebook , We are going to solve the Loan Approval Prediction.This is a Classification problem in which we need to classify whether the loan will be approved or not.

media frames

Jovian course on data structures and algorithms.

Analyzing 2020 Summer Olympic Dataset

With the Django REST system, we can construct a simple machine learning application that forecasts the species of a sample flower based on measurements of its characteristics i.e. the dimensions of the sepal and petal, length, and width. Here we'd use the same Django application and make some adjustments as appropriate. We will use Postgres as our database for this development since Postgres is best suited for building production. Django comes bundled with a fantastic dashboard from the admin. We can register users for our application with the admin dashboard, which can then communicate with our machine learning application to make predictions. This will then serve the function of our backend and admin duties for our Django application.

This repository containss all the data science project that I have worked on. These implementations are in python (jyputer notebooks )

Image Processing Grades Auto filler with 2 models Graded Sheet Model & Bubble Sheet Model

This project involves creating a real-time sign language detection system using CNNs to translate sign language gestures into text. It aims to improve communication accessibility for the hearing-impaired by accurately recognizing and displaying sign language gestures from live video input in real-time.

AI-DxMH is an AI-powered health assistant that provides accessible medical diagnoses for people in remote areas of India. It uses a large language model (LLM), natural language processing, and machine learning to ask users questions about their symptoms and provide likely diagnoses and health advice.

Python 2025 Series to learn python

US criminal arrest records from 1980 to 2019.

Cricket World Cup 2019 Winner Prediction

End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).

NLP based Amazon Data Prediction

Projetos desenvolvidos durante a Imersão Dados da Alura.

Pokemon Type Detector is a pre-trained deep learning model which can detect the type of pokemon image. The model is a variant of the VGG16 with the imagenet weights. It can be used from the .py file or execute the django project to use web version.

Demo Jupyter Notebooks for interacting with Elasticsearch

Several solved problems at Skillbox on Data Analysis