Best of Scikit β€” 2023

  1. 1
    Article
    Avatar of freecodecampfreeCodeCampΒ·3y

    Machine Learning with Python and Scikit-Learn

    Learn machine learning with Python and Scikit-Learn through a practical and hands-on 18-hour course. The course covers linear regression, logistic regression, decision trees, random forests, gradient boosting machines, unsupervised learning, building a machine learning model from scratch, and deploying a machine learning project with Flask.

  2. 2
    Article
    Avatar of kdnuggetsKDnuggetsΒ·3y

    5 Free Courses to Master Machine Learning

    Learn machine learning with these free courses. Gain proficiency in both theory and building models. Recommended courses cover various topics such as K-Nearest Neighbors, Naive Bayes, logistic regression, linear regression, and more.

  3. 3
    Article
    Avatar of tdsTowards Data ScienceΒ·3y

    Building a Basic Machine Learning Model in Python

    Building a Basic Machine Learning Model in Python Extensive essay on how to pick the right problem and how to develop a basic classifier charlesdeluvio on Unsplash. Picking the correct problem for ML is nearly impossible, but it’s not a one-size-fits-all approach.

  4. 4
    Article
    Avatar of aiplainenglishAI in Plain EnglishΒ·3y

    🎬 TMDB 🀝 Streamlit πŸ”₯: Build Your Own Movie Recommendation System πŸš€

    In the ever-evolving landscape of online platforms like YouTube, Amazon, Netflix, and others, recommender systems have become indispensable in shaping our daily lives. These remarkable systems are designed to deliver personalized and relevant suggestions, catering to individual user preferences. In this article, I will guide you through the process of creating a movie recommender system from scratch.

  5. 5
    Article
    Avatar of developercomDeveloper.comΒ·3y

    7 Best Python Libraries for Machine Learning and AI

    7 Best Python Libraries for Machine Learning and AI Artificial intelligence (AI) and machine learning (ML) are both popular fields in software development. This tutorial will highlight the best AI, ML and deep learning Python libraries that programmers, data scientists, and researchers can use to build intelligent applications and solve complex problems.

  6. 6
    Article
    Avatar of hackernoonHacker NoonΒ·3y

    Bringing Python to the Web: A Guide to Running Python in Your HTML

    Bringing Python to the Web: A Guide to Running Python in Your HTML. This article dives into the fascinating concept of running Python code within HTML, unraveling the potential it holds. It was announced at PyCon US 2022 by Anaconda, makers of the Python distribution for scientific computing.