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⌨️ Workshop: How to Become a Data Scientist With No Experience
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Classroom Contents
AI and Machine Learning Foundations - Python, Data Science, and MLOps
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- 1 ⌨️ Introduction
- 2 ⌨️ Machine Learning Roadmap for 2024
- 3 ⌨️ ML Basics Supervised vs. Unsupervised, Regression vs. Classification
- 4 ⌨️ Machine Learning Bias-Variance Trade-off
- 5 ⌨️ Machine Learning Overfitting Regularization
- 6 ⌨️ Machine Learning Linear Regression Model
- 7 ⌨️ Machine Learning Linear Regression Model As a Prediction Model
- 8 ⌨️ Top 10 Machine Learning Algorithms
- 9 ⌨️ Data Analysis : Superstore Data Analytics Project
- 10 ⌨️ Machine Learning Linear Regression Case Study
- 11 ⌨️ MLOps: Movie recommendation system.
- 12 ⌨️ Workshop: How to Become a Data Scientist With No Experience
- 13 ⌨️ Workshop: How to Build A Startup
- 14 ⌨️ Machine Learning Interview Prep🎉 Thanks to our Champion and Sponsor supporters: