Codestates AIB
1.Section 1_Sprint 1
Codstates_Section1_Sprint 1 : EDA, Feature engineering, Data manipulation, Basic derivative
2.Section 1_Sprint 2
Codstates_Section1_Sprint 2 : Hypothesis test, Chi-square test, Confidence intervals, Bayesian
3.Section 1_Sprint 3
section1_sprint3 : vectors & matrices, intermediate linear algebra, dimensionality reduction, clustering
4.Section 2_Sprint 1
Section2_Sprint1 : simple regression, multiple regression, ridge regression, logistic regression
5.Section 2_Sprint 2
Codstates_Section2_Sprint 2 : Decision tree, Random forest, Evaluation metrics for classification, Model selection
6.Section 2_Sprint 3
section2_sprint3 : choose ML problems, wrangling, feature engineering, interpreting ml model
7.Section 3_Sprint 1
section3_sprint1 : 개발환경, SQL, DB API
8.Section 3_Sprint 2
section3_sprint2 : python 활용, 웹스크레이핑, API, NoSQL
9.Section 3_Sprint 3
section3_sprint3 : docker, flask, 배포와 대시보드, 시간과 부호화
10.Section 4_Sprint 1
section4_spint1 : artificial neural network, training neural network, 더 나은 신경망 학습을 위한 방법들, hyperparameter tuning
11.Section 4_Sprint 2
section4_sprint2 : count-based representation, distributed representation, language modeling with RNN, transformer
12.Section 4_Sprint 3
section4_sprint3 : cnn, beyond classification, AE, GAN
13.Section 5_Sprint 1
section5_sprint1 : python programming, problem solving, python with OOP, data structure essential
14.Section 5_Sprint 2
section5_sprint2 : datastructure fundamental, datastructure intermediate, algorithm fundamental, algorithm intermediate
15.Section 5_Sprint 3
section5_sprint3 : hash table, graph, bfs & dfs, algorithm advanced