MSDS 686, Deep Learning, Final Project Kepler and Tess Exoplanet Classification Project Requirements: Data Source: https://www.kaggle.com/datasets/vijayveersingh/kepler-and-tess-exoplanet-data Importing Libraries Loading Data, Creating Directory, Unzipping, Loading into DF and Previewing Data Some Basic EDA and Data Cleaning Encoding Labels Handling Missing Data Pearson Correlation Matrix and Heatmap Feature Selection First Pass Checking Magnitudes of Data Define Features and Targets Scaling Train Test Split Imputing Convert the Targets to Categorical Model 1: Standard FNN Feature Selection Second Pass - Random Forest Classifier Model 2: FNN, Utilizing Random Forest Classifier for Feature Selection Above Model 3: Model 1 FNN Using LeakyReLU instead of ReLU. Writeup Requirements Writeup
-
Notifications
You must be signed in to change notification settings - Fork 0
SReedJohnson/Exoplanets
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Exoplanets Analysis and Modeling for MSDS 686
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published