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This lecture is the second lecture of the data science course developed by TEAMLAB and Inflearn, Introduction to Machine Learning from Scratch. Introduction to Machine Learning from Scratch consists of Part I and Part II.

This lecture was produced with the support of WADIZ funding prepared by TEAMLAB and Inflearn.

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Introduction to Machine Learning from Scratch

입문

초급

중급이상

Machine Learning(ML)

Chapter 1 - Introduction to Machine Learning

Chapter 2 - Warm Up Section: An understanding of data

&#039;  Supplements - Linear algebra

Chapter 3 - Numpy Section

Chapter 4 - Pandas Section #1

Chapter 5 - Pandas Section #2

Chapter 6 - Matplotlib Section & Miniproject

Chapter 7 - Linear Regression

Chapter 8 - Linear Regression extended

Chapter 9 - Logistics Regression

Chapter 10 - Logistics Regression extended

Chapter 11 - Naive Bayesian Classifier

&#039; Supplements: Text handling Lab: News categorization

Chapter 12 - Decision Tree

Chapter 13 - Ensemble

Chapter 14 - Performance tuning