/2020-DataScience-Study

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2020-DataScience-Study

Repository for D.COM Data Science Study

Goal

  • TBA

How to

  • TBA

Requirements

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

Curriculum (On Edit)

Basic Course

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

Analyzing Basic Tabular Data

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

Adavence Course

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

Reference

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