Nighthawk Pages 3.0. This is a GitHub Pages project that includes support for Jupyter Notebooks. The project provides a game, lessons and projects to support the teaching of Career Technical Educations and AP courses: Computer Science and Software Engineering (CSSE), Computer Science Principles (CSP), and Computer Science A (CSA).

Racine - A collaborative lab book in your web browser

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Data Science AI Artificial Intelligence Deep Learning Python Keras TensorFlow TensorFlow2 Flask Flask3 Docker NGINX Gunicorn microservices REST API Jupyter Lab Notebook GitHub Actions Ruff

This project is a similarity checker for academic theses, implemented using Support Vector Machine (SVM) algorithms. It aims to help detect similarities between different documents, assisting in identifying potential instances of plagiarism.

A jupyter notebook containing code to train a model on the MNIST dataset as well as a Flask web application that allows users draw a number into a canvas and submit it to the model with a response prediction from the model. Final year Software Development Project for Emerging Technologies.

Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik

This is a practice Repository consisting of all the notebooks I have practiced to learn python for data science from basics to Advance.

This is a project developed on platforms such as jupyter notebook, pycharm, postman and visual code

This notebook will help you polish your python knowledge with some cool projects.

Add notes to your NB notebook from your phone

This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

this is simple translation website using tensorflow transformer model

This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dropout regularization, and deep neural networks. These notebooks offer practical implementations and insights for improving model training

This repository contains the full project code for a Predictive Analysis of Productive Employment in Kenya. The repository contains the code for the data science project lifecycle from Business Understanding to Model Building and Evaluation (Colab Notebook) and Model Deployment (Flask, HTML)

SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.

Use a neural network model called sequential model for prediction rice leaf disease. Here I only use two types of Image and gain almost 90% accuracy. For frontend and backend development I used Python Flask framework and basic html,css. For building model I used jupyter notebook.

Built an app with JWT Token authentication for secure user access to private workspaces. Our Safe Notebook App on Flask and PostgreSQ, enables users to create and manage personal notes securely. Using SQLAlchemy, user data management is simplified with CRUD operations on the User Model. Admin Control security, administrators can manage all notes.

Self-Paced Learning Sandbox for Python with Virtual Environments, Tkinter, Turtle Graphics, Flask, Jupyter Notebooks, HTML & CSS