Random Forest Algorithm Explained with Python and scikit-learn скачать в хорошем качестве

Random Forest Algorithm Explained with Python and scikit-learn

In this comprehensive tutorial, we'll guide you through the process of creating a powerful machine learning model – the Random Forest Classifier – using the popular Python library, Scikit-Learn. Let's embark on this exciting journey to enhance your machine learning prowess! Code: 👨‍💻 Mentorships: https://ryanandmattdatascience.com/me... 📧 Email: [email protected] 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord:   / discord   📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan 📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg 🍿 WATCH NEXT Scikit-Learn and Machine Learning Playlist:    • Scikit-Learn Tutorials - Master Machi...   Decision Tree Classifier:    • How to Build Your First Decision Tree...   Logistic Regression:    • Hands-On Machine Learning: Logistic R...   Support Vector Machine:    • Mastering Support Vector Machines wit...   OTHER SOCIALS: Ryan’s LinkedIn:   / ryan-p-nolan   Matt’s LinkedIn:   / matt-payne-ceo   Twitter/X: https://x.com/RyanMattDS Who is Ryan Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF. Who is Matt Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One. *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.