Data-science learning materials
Fastcampus Data Science Boot-camp
데이터 사이언스 스쿨 7기 프로그래밍
데이터 사이언스 스쿨 7기 수학
- Matrix
- System of Linear Equations
- Linear Algebra Geometric Approach
- Matrix Decomposition
- Probability
- Bayesian Theorem
- Probability Density Function
- Mean / Variance
- Continuous Distribution
- Discrete Distribution
- Bayesian Distribution
- Conditional Joint Probability
- Covariance / Covariance Coefficient
- Test Statistics
- Most Likelihood Estimation
계량경제학 - 부산대학교 | KOCW 공개 강의
회귀분석 with Fastcampus
- Ordinary Least Square Regression Analysis
- Multivariable Regression
- Categorical Data Analysis
- ANOVA / R Square
- PCA
- Regularization
- Logistic Regression
- Linear Discriminant Analysis
- Naive Bayesian
- Entropy
- Decision Tree
- Support Vector Machine
- Ensemble / Boosting Method
- K-means Clustering
- Affinity Propagation
- Hierarchical Clustering
- Perceptron
- Neural Network
- Convolutional Neural Network
- Recurrent Neural Network
- Generative Adversarial Network
- syntax, function, class, module, debug
- Data Analysis Packages
- Web Crawling
- REST API
- Slack Chat-Bot
- recommendation system
- SQL : MySQL
- NoSQL : MongoDB
- Amazon Web Service EC2
- FTP : FileZilla
- crontab / xvfb