Chris Pollett > Students >
De

    ( Print View)

    [Bio]

    [Blog]

    [CS 297 Proposal]

    [Paper Review]

    [MBS_BSF_linear regression Slides-PDF]

    [LSTM network explanation and walkthrough]

    [Linear Regression-PDF]

    [Deliverable 1]

    [Deliverable 2]

    [Deliverable 3]

    [Deliverable 4]

    [CS 297 Project Report-PDF]

    [CS 298 Proposal]

    [CS 298 Project Report-PDF]

    [CS 298 Slides-PDF]

Deliverable 1

Description:

This deliverable is about collection data sets and then loading those dataset in python and then cleaning the dataset.

Deliverables:

  1. Data Collection

    • Housing prices for California (https://www.car.org/marketdata/data/housingdata/ )
    • Mortgage based securities (https://fred.stlouisfed.org/)
  2. Data Preparation

    The housing price data had a lot of NA in the dataset. So using pandas I prepared data by cleaning the dataset.

    Data Preparation code