Analyze data

Using SciPyR for data exploration, manipulation, building, and executing ML models

Import libraries and data

Explore and analyze

Impute missing information

Run ML models

1. Create a Python workbook and import libraries and data

   Bring data directly into SciPyR workbook through queries as a Pandas DataFrame. View the dataframe under 'Variables'

   
2. Analyze key metrics, manipulate data, and identify patterns using SciPyR

   Explore the loan dataset to identify missing information and anomalies, visualize patterns, and summarize key insights

   
3. Evaluate and run ML models on datasets

   Run a series of classification algorithms on the loan dataset such as Logistic Regression, Decision Tree and evaluate what gives you the best results

   
4. Done