https://github.com/anas436/cars-price-pediction-evaluation-and-refinement-using-python
https://github.com/anas436/cars-price-pediction-evaluation-and-refinement-using-python
cross-validation-score gridsearchcv ibm-watson jupyter-notebook linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge scikitlearn seaborn sklearn tqdm
Last synced: 6 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/anas436/cars-price-pediction-evaluation-and-refinement-using-python
- Owner: Anas436
- Created: 2022-07-12T14:41:47.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2022-07-12T15:08:30.000Z (about 3 years ago)
- Last Synced: 2025-02-01T15:30:59.705Z (8 months ago)
- Topics: cross-validation-score, gridsearchcv, ibm-watson, jupyter-notebook, linear-regression, matplotlib, model-selection, numpy, pandas, polynomial-features, python3, ridge, scikitlearn, seaborn, sklearn, tqdm
- Language: Jupyter Notebook
- Homepage:
- Size: 207 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Cars-Price-Pediction-Evaluation-and-Refinement-Using-Python
Every Data Scientist and Data Analyst need to perform any model evaluation and refinement. Because it is provide your model accuracy which provide more confident with your own model. If you do not perform these types of actions otherwise you could not be able to know about your model whether is how much accurate or not.
## After completing this lab you will be able to:
* Evaluate and refine prediction models
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