AbstractsEngineering

python projects with source code

by keerthana pothula




Institution: takeoffprojects
Department:
Degree: Doctorate Degree
Year: 2021
Keywords: python projects
Posted: 09/23/2021
Record ID: 2222258
Full text PDF: https://takeoffprojects.com/python-projects-with-source-code


Abstract

Looking to build a career in Python? Want to improve your resume with multiple personal projects on it? Then this blog of Python projects with source code is for you. We, takeoff projects bring you 5 projects implementing data science with Python. Takeoff Projects helps students complete their academic projects. You can enroll with friends and receive python projects with source code kits at your doorstep. You can learn from experts, build the latest projects, showcase your project to the world and grab the best jobs. Get started today! 1. Detecting Fake News with Python Fake news can be dangerous. This is a type of yellow journalism and spreads fake information as ‘news’ using social media and other online media. This is a common way to achieve a certain political agenda. Fake news may contain false and/or exaggerated claims. Social media algorithms often viralize these and create a filter bubble. In this, we will train on a news.csv dataset of shape 7796×4. We’ll mainly use two things- a TfidfVectorizer and a PassiveAggressiveClassifier. 2. Detecting Parkinson’s Disease with XGBoost Parkinson’s disease is a progressive disorder of the central nervous system that affects over 1 million people in India every year. It affects movement and can be a cause of tremors and stiffness. This is a neurodegenerative disorder with 5 stages to it and affects dopamine-producing neurons in the brain. As we all know that colors are made up of three primary colors: Red, Green, and Blue. Their intensities can be measured between 0 to 255 and by combining them we get 6 million different color values. The idea of this project is to get the name of the color from the color values. To implement this we use a dataset that has color values and labeled color names, then we calculate the shortest distance between each color and display the color name that has the shortest distance. 4. Sp Speech Eeech Emotion Recognition with librosa