justmarkham/DAT8: General Assembly’s Data Science course in Washington, DC

DAT8 – General Assembly’s Data Science course in Washington, DC

DAT8 Course Repository

Course materials for General Assembly’s Data Science course in Washington, DC (8/18/15 – 10/29/15).

Instructor: Kevin Markham (Data School blog, email newsletter, YouTube channel)

Binder

Tuesday Thursday
8/18: Introduction to Data Science 8/20: Command Line, Version Control
8/25: Data Reading and Cleaning 8/27: Exploratory Data Analysis
9/1: Visualization 9/3: Machine Learning
9/8: Getting Data 9/10: K-Nearest Neighbors
9/15: Basic Model Evaluation 9/17: Linear Regression
9/22: First Project Presentation 9/24: Logistic Regression
9/29: Advanced Model Evaluation 10/1: Naive Bayes and Text Data
10/6: Natural Language Processing 10/8: Kaggle Competition
10/13: Decision Trees 10/15: Ensembling
10/20: Advanced scikit-learn, Clustering 10/22: Regularization, Regex
10/27: Course Review 10/29: Final Project Presentation

Python Resources

Course project

Comparison of machine learning models

Comparison of model evaluation procedures and metrics

Advice for getting better at data science

Additional resources

Source: justmarkham/DAT8: General Assembly’s Data Science course in Washington, DC

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