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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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