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Python Projects With Source Code

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.<br>

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Python Projects With Source Code

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  1. Python Projects With Source Code

  2. ARTICLE • 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! •

  3. 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.

  4. 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.

  5. 3. Color Detection with OpenCV and Pandas 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.

  6. 4. Speech Emotion Recognition with librosa Speech Emotion Recognition (SER) is an attractive application of data science today as we constantly attempt to give the consumer a better experience. This includes recognizing human emotion and affective states from speech. Since voice often exposes underlying emotions with tone and pitch, it can be used to understand the users’ needs and use it to improve the service.

  7. 5. Breast Cancer Classification with Keras IDC (Invasive Ductal Carcinoma) is the most common form of breast cancer, forming about 80% of all breast cancer diagnoses. This is cancer that develops in milk ducts and then invades the fibrous/fatty breast tissue outside them. In this project, we use the IDC_regular dataset (with breast cancer histology images).

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