AI부트캠프

코드스테이츠 AI부트캠프 9기

[Index] AI부트캠프

[n111] SECTION 01 Sprint 1 Data Preprocess & EDA EDA

[n112] SECTION 01 Sprint 1 Data Preprocess & EDA Feature Engineering

[n113] SECTION 01 Sprint 1 Data Preprocess & EDA Data Manipulation

[n114] SECTION 01 Sprint 1 Data Preprocess & EDA Basic Derivative

[n11x] SECTION 01 Sprint 2 Data Preprocess & EDA Sprint Challenge 1

[n121] SECTION 01 Sprint 2 Statistics Hypothesis Test

[n122] SECTION 01 Sprint 2 Statistics Chi-Square Test

[n123] SECTION 01 Sprint 2 Statistics Confidence Interval

[n124] SECTION 01 Sprint 2 Statistics Bayesian

[n12x] SECTION 01 Sprint 2 Statistics Sprint Challenge 2

[n131] SECTION 01 Sprint 3 Linear Algebra Vector / Matrix

[n132] SECTION 01 Sprint 3 Linear Algebra Linear Algebra +

[n133] SECTION 01 Sprint 3 Linear Algebra high-dimensional data

[n134] SECTION 01 Sprint 3 Linear Algebra Clustering

[n13x] SECTION 01 Sprint 3 Linear Algebra Sprint Challenge 3

[n211] SECTION 02 Sprint 1 Linear Models Simple-Regression

[n211] SECTION 02 Sprint 1 Linear Models Multiple-Regression

[n213] SECTION 02 Sprint 1 Linear Models Ridge Regression

[n214] SECTION 02 Sprint 1 Linear Models Logistic Regression

[n231] SECTION 02 Sprint 3 Applied Predictive Modeling Choose Your ML Problems

[n232] SECTION 02 Sprint 3 Applied Predictive Modeling Data Wrangling

[n233] SECTION 02 Sprint 3 Applied Predictive Modeling Feature Importances

[n234] SECTION 02 Sprint 3 Applied Predictive Modeling Interpreting ML Model

[n311] SECTION 03 Sprint 1 Environment and Relational Database Development Environment

[n312] SECTION 03 Sprint 1 Environment and Relational Database SQL Basics

[n313] SECTION 03 Sprint 1 Environment and Relational Database SQL More

[n221] SECTION 02 Sprint 2 Tree Based Model Decision Trees

[n222] SECTION 02 Sprint 2 Tree Based Model Random Forests

[n223] SECTION 02 Sprint 2 Tree Based Model Evaluation Metrics for Classification

[n224] SECTION 02 Sprint 2 Tree Based Model Model Selection