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bloodbankmanagement

Blood Bank Management System || Python Django

chat-on

A Secured TCP Chat Room built with Python.

corizo_maj_project

eventbookingapp

fakenewsbot

hacktoberfest-2021

This is A Hacktoberfest 2021 Python Repository

hacktoberfest2021

Submit Just 4 PRs to earn SWAGS and Tshirts🔥

hacktoberfest2021-1

This Repo is created by Abhishek for the beginners to promote open source programming (hacktoberfest), you just need to add any type of code in any programing lang you want, just commit your name at the end. Give a Star⭐

hacktoberfest2021-2

Make your first Pull Request on Hacktoberfest 2021. Don't forget to spread love and if you like give us a ⭐️

hacktoberfest2021-dsa

If You know any DSA problem solution you can contribute it here. Raise Genuine PRs only. Your PRs will be accepted, keep patience. Star this Repo. You aren't allowed to Update README.md. Welcoming developers, content writers, and programming enthusiasts.

mobile-price-prediction-using-ml-algorithm

I have implemented a Mobile Price Prediction using different Machine Learning Algorithms. This project will classify the price range of the mobile price. The price ranges from 0-3. We’ll discuss the price range in the dataset. Now I have trained a mobile price classification using 3 ML algorithms. This model classifies the range of the mobile bas

monefy

Monefy

phishing-detection

Phishing detection in Gmail

phishing-url-detection

Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as “YES” for phishing URL and “NO” for not phished URL. PYTHON DEPENDENCIES: • NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. • Pickle: For exporting the model to local machine • Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebooks, Spyder etc. built in it which makes it easy to use and efficient. Steps to be followed for running the code of the software: • Install anaconda in the system. • gui.py : It contains the code for the GUI and is linked to other modules of the software. • Feature_extractor.py: It contains the code of Data analysis and data modelling. • Rf_model.py: It contains the trained machine learning model. • Only gui.py is to be run to execute the whole software.

samarth-kumar-shah

stock-prediction

stock-predictor

surfers

socially interaction

thedestructorr

Config files for my GitHub profile.