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
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