Curriculum for the course AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai. This is not just a crash course. This course covers everything from fundamental concepts to advanced algorithms, complete with real-world case studies in recommender systems and predictive analytics. This course goes beyond theory to provide hands-on implementation experience, career guidance, and great insights from industry professionals. It also includes a career guide on how to build a data science career, launch a startup, and prepare for interviews. ⭐️ Contents ⭐️ ⌨️ (00:00:00) Introduction ⌨️ (00:00:02) Machine Learning Roadmap for 2024 ⌨️ (00:49:53) ML Basics (Supervised vs. Unsupervised, Regression vs. Classification) ⌨️ (01:05:10) Machine Learning Bias-Variance Trade-off ⌨️ (01:12:22) Machine Learning Overfitting Regularization ⌨️ (01:41:11) Machine Learning Linear Regression Model ⌨️ (01:48:15) Machine Learning Linear Regression Model As a Prediction Model ⌨️ (02:04:41) Top 10 Machine Learning Algorithms ⌨️ (03:50:28) Data Analysis : Superstore Data Analytics Project ⌨️ (05:11:29) Machine Learning Linear Regression Case Study ⌨️ (07:11:16) MLOps: Movie recommendation system. ⌨️ (07:49:52) Workshop: How to Become a Data Scientist With No Experience ⌨️ (08:59:38) Workshop: How to Build A Startup ⌨️ (09:26:21) Machine Learning Interview Prep🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/newsWatch Online Full Course: AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science
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