/PUI2018_tp1600

Homework Assignments for PUI

Primary LanguageJupyter Notebook

PUI2018_tp1600

Homework Assignments for PUI

HW Table of Contents

Homework 7:

Assignment 1:

  • Census data
  • Mapping with Geopandas, PUMA data
  • Working with JSON files
  • downloading from API and using API keys
  • creating geometry from lat/long
  • finding # per shape

Homework 8:

Assignment 2:

  • Null hypothesis testing
  • creating new columns (weekday/weekend)

Homework 9:

Assignment 2:

  • Linear Regressions using StatsModels
  • weighted regression, WLS

Assignment 3:

  • Linear regression
  • plotting with error bars, histograms,
  • fitting a line and outlier removal

Homework 10:

Assignment 1:

  • Log Likelihood
  • linear, quadratic fits, Likelihood ratio test

Assignment 2: (buildingnrg)

  • chloropleths, scatter matrix, data wrangling
  • feature engineering
  • regression and polynomial fitting
  • calculating chi square and likelihood ratio test to compare models

Homework 11:

Assignment 1:

  • Time Series & Decision Trees
  • Point of Change Analysis, plotting time series
  • Working with 3D Numpy Arrays

Homework 12:

Assignment 1 (Subway):

  • Fourier Transform

Assignment 2:

  • Clustering (KMeans, Agglomerative)
  • looping through files for download
  • Plotting with for loops and subplots