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* 100% Practical Curriculum: Focused on hands-on data handling rather than grammar-based learning
* Essential Machine Learning Prep: A complete summary of data preprocessing techniques required before AI training
* Data Analysis Tool Mastery: Conquer core functions of Numpy (numerical operations) and Pandas (data manipulation)
* Deriving Visualization Insights: Transferring data visualization skills using Matplotlib and Seaborn
* Building Statistical Foundations: Learning basic statistics and group analysis techniques to identify data characteristics

softcampus

Jae-sung Yoon's AI Development Part 1: Python Data Analysis for Machine Learning

머신러닝

Deep Learning(DL)

딥러닝

Numpy

numpy

데이터분석

Matplotlib

matplotlib

입문

초급

중급이상

Machine Learning(ML)

판다스

Pandas

넘파이

씨본

Seaborn

매트플롯 라이브러리

Preparation (Environment Setup)

Numerical Operations and Numpy

Data analysis tool Pandas

Practical Preprocessing & Statistics

Data Visualization

Class Materials