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).

Predicts home prices of Bangalore. Used Flutter, Flask and Jupyter Notebook.

Python Apps & Games + Notebook-Tutorials

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.

This project aims to industrialize a Kaggle notebook from scratch. We have industrialized a mask detection notebook.

Dockerize Your ML Application - flask, flasgger, jupyter-notebook

Use CNN - ResNet50,PyTorch,Keggle,Python,Jupitter Notebook

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

Project using SQLAlchemy in Jupyter Notebook to analyze weather in Hawaii from different stations over one year. Then design and create a Flask app based on the queries from the Jupyter Notebook.

Climate Analysis of Hawaii Temperature and Precipitation. Exploration in Jupyter Notebook, and a Flask-API.

This repository is an application developed in Flask as BackEnd for connecting the Jupyter Notebook to the Hive Server and execute the queries and displays the results back in the UI

This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of recognizing human faces, particularly those present in the LFW dataset and Indian Actors Dataset (both available on Kaggle).

Surf's Up! is a repository that examines climate patterns in Honolulu, Hawaii. It utilizes Python, SQLAlchemy, and Flask to analyze precipitation and temperature data from weather stations. The repository includes a Flask API for easy data access. Tools used include Jupyter Notebook, SQLAlchemy, Pandas, Matplotlib, Python, and Flask.

This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of recognizing human faces, particularly those present in the LFW dataset and Indian Actors Dataset (both available on Kaggle).