2190513 Data Science

Info

• Y2T1
• Instructor: Peerapon Vateekul
• Language: Python

Links

• course's github repo
• data science scopus group project
• web demo of the project
• my google drive

Warning

headache intensifies

Lessons

• 01: intro - what is data science?
• 02: no class (mother's day)
• 03: data preparation, basic pandas
• 04: data preparation (narrowing down columns, impute missing values)
• 05: data preparation (handling outliers, data transformation, train-test data, stratify, random_state, dummy coding)
• 06: types of ML, DecisionTreeClassifier, DecisionTreeRegressor
• 07: pruning, RandomForestClassifier, RandomForestRegressor, bootstrapping, boosting, evaluation measure (classification_report, metrics)
• 08: midterm exam
• 09: kNN, GridSearchCV, RandomGridSearchCV, LinearRegression, LogisticRegression
• 10: neural network, MLPClassifier, MLPRegressor, K-means clustering, KMeans, StandardScaler, DBSCAN, association rule mining
• 11: web scraping - BeautifulSoup, Selenium, REST API, FastAPI
• 12: make up midterm exam
• 13: BI dashboard, AWS QuickSight
• 14: data storage - SQL, MongoDB
• 15: streamlit
• 16: advanced AI/ML topics