Data Science Projects

3e Project: Model evaluation & validation

Project details

DESCRIPTION:

• use Boston house price dataset to PREDICT selling price of a new/unseen home

PROCESS:

1. EXPLORE data > obtain important FEATURES & DESCRIPTIVE statistics abt data
2. Properly SPLIT dataset into TRAINING & TEST datasets
3. DETERMINE suitable PERFORMANCE METRIC for evaluating the problem
4. ANALYSE performance graphs for learning algorithm over varying TRAINING SET SIZES & with varying number of PARAMETERS
5. CHOOSE OPTIMAL MODEL that best generalises unseen data
6. TEST chosen optimal model on a NEW SAMPLE & COMPARE PREDICTED selling price to ACTUAL statistics

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