Course Assignments

Homework Labs

• lab_12: Regularized Linear Regression (Due: December 11, 2019 at 11:59pm)
  Experiment with Lasso regression with high dimensional features
  
• lab_11: Regularized Logistic Regression (Due: December 4, 2019 at 11:59pm)
  Use gene expression profiles and clinical data to build a regularized logit classifer for breast cancer recurrence
  
• lab_10: Logit Classifier Training and Testing (Due: November 20, 2019 at 11:59pm)
  Build a logit classifer using training data and evaluate on test data
  
• lab_09: Odds Ratios and Logistic Regression (Due: November 6, 2019 at 11:59pm)
  Study association between categorical variables and model categorical responses using logits
  
• lab_08: Compare Regression Models (Due: October 30, 2019 at 11:59pm)
  Compare nested regression models for U.S. melanoma mortality rates
  
• lab_7: Regression models and inference (Due: October 23, 2019 at 11:59pm)
  Apply two-sample analysis and linear regression modeling to real and simulated data.
  
• lab_6: Confidence Intervals and Hypothesis Tests (Due: October 16, 2019 at 11:59pm)
  Analyze lead exposure data while exploring connections between confidence intervals and hypothesis tests.
  
• lab_5: Standard Errors for Means and Proportions (Due: October 2, 2019 at 11:59pm)
  Work with the uniform and binomial distributions, and normal approximations for the sample mean and sample proportion.
  
• lab_4: Normal and Bernoulli Distributions (Due: September 25, 2019 at 11:59pm)
  This lab covers the normal distribution, Bernoulli distribution, parameters and random samples.
  
• lab_3: Sampling, probability and looping (Due: September 18, 2019 at 11:59pm)
  This lab covers sampling, probability, for loops, and making your own function for simulations.
  
• lab_2: Data Frames (Due: September 11, 2019 at 11:59pm)
  In this lab you will learn more about data types in Python, read external data from csv files, and perform basic data extraction, analytics, and interpretation.
  
• lab_1: Data Science Setup (Due: September 4, 2019 at 11:59pm)
  Data scientists use powerful tools to help learn about data. In this first lab, you will set up your account and computer for Data Science Exploration and begin to work with Python notebooks