Repository for D.COM Data Science Study

• TBA

• TBA

• 본 스터디는 Python을 사용합니다.
• 고등학교 수준의 기초적인 미적분, 선형 대수, 확률 지식을 필요로 합니다.
• Kaggle 계정
• TBA

• 0. Warming-Up
  • Orientation (How to study Data Science)
  • Data Manipulation (Numpy, Pandas)
  • Data Visualization (Seaborn)
  • Data Collection (Request, BeutifulSoup)

• 1. Binary classification
  • Titanic Machine Learning from Disaster (Practice 1)
  • Porto Seguro's Safe Driver Prediction (Practice 2)
  • Home Credit Default Risk (Practice 3)
• 2. Multi-class classification
  • Costa Rican Household Poverty Level Prediction (Practice 4)
• 3. Regression
  • New York City Taxi Duration (Practice 5)
  • Zillow's Home Value Prediction (Practice 6)

• 1. Image Classification
  • Statoil/C-CORE Iceberg Classifier Challenge (Practice 7)
  • TensorFlow Speech Recognition Challenge (Practice 8)
• 2. Natural Language Processing
  • Spooky Author Identification (Practice 9)
  • Mercari Price Suggestion Challenge (Practice 10)
  • Toxic Comment Classification Challenge (Practice 11)
• 3. Object segmentation
  • 2018 Data Science Bowl (Practice 12)
• 4. Anomaly Detection, Visualization
  • Credit Card Fraud Detection (Practice 13)
  • Kaggle Machine Learning & Data Science Survey 2017 (Practice 14)

1. https://goodday-lab.tistory.com/4