Day1 Practical - Installation of Anaconda Environment and All ML Libraries скачать в хорошем качестве

Day1 Practical - Installation of Anaconda Environment and All ML Libraries

Welcome to Day 1 of the AI & Machine Learning Summer School (July 7 – 28, 2025)! In this kickoff session, we will walk you through everything you the practical guide on how to download, install anaconda environment and also the ML libraries ready for serious ML project. What you’ll learn in this video Installing Python 3.13 (on Windows) & adding it to PATH Verifying your installation (`python --version`, `pip --version`) Installing the Anaconda distribution and when to use it Creating virtual environments (`venv` vs `conda`) Must-have AI/ML libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, notebook, jupyterlab Best practices for documenting your environment Day 1 recap & what’s next Helpful links 🔗 Python downloads – [https://www.python.org/downloads/](https://www.python.org/downloads/) 🔗 Anaconda distribution – [https://www.anaconda.com/products/dis...](https://www.anaconda.com/products/dis...) 🔗 Library docs: • NumPy – [https://numpy.org/doc/](https://numpy.org/doc/) • Pandas – [https://pandas.pydata.org/docs/](https://pandas.pydata.org/docs/) • Matplotlib – [https://matplotlib.org/stable/content...](https://matplotlib.org/stable/content...) • Seaborn – [https://seaborn.pydata.org/](https://seaborn.pydata.org/) • Scikit-learn – [https://scikit-learn.org/stable/user\guide.html](https://scikit-learn.org/stable/user_...) • Streamlit – [https://docs.streamlit.io/](https://docs.streamlit.io/) • Supabase – [https://supabase.com/docs](https://supabase.com/docs) Resources 📥 Slide deck (PDF) and📝 Course GitHub repo – https://github.com/graceugochinneji/C... This content delivers: 15-Day Coding-First Curriculum – daily deep-dive videos, notebooks, and projects covering Python, data wrangling, classical ML, deep learning, MLOps, and real-time dashboards. Hands-On Walk-Throughs – we code everything live and explain each line so you can follow along with zero guesswork. Practical Tools & Workflows – environment setup, virtual environments, GPU tuning, Streamlit dashboards, Supabase auth, and more. Open Resources – slide decks, GitHub repositories, and community Q\&A to support your learning journey. Watch, share and hit 🔔 the Subscribe button to join thousands of learners leveling up their AI skills, and dive into our Day 1 Environment Setup video to get started!