https://github.com/lkethridge/numerical_methods
A Numerical Methods project from TripleTen
https://github.com/lkethridge/numerical_methods
algorithm-analysis boosting comparing-methods computational-complexity ensembles gradient-boosting gradient-descent iterative-methods neural-networks numerical-methods sgd stochastic-gradient-descent
Last synced: about 2 months ago
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A Numerical Methods project from TripleTen
- Host: GitHub
- URL: https://github.com/lkethridge/numerical_methods
- Owner: LKEthridge
- License: cc0-1.0
- Created: 2025-03-07T20:21:48.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-07T20:35:54.000Z (about 2 months ago)
- Last Synced: 2025-03-07T21:26:22.716Z (about 2 months ago)
- Topics: algorithm-analysis, boosting, comparing-methods, computational-complexity, ensembles, gradient-boosting, gradient-descent, iterative-methods, neural-networks, numerical-methods, sgd, stochastic-gradient-descent
- Language: Jupyter Notebook
- Homepage:
- Size: 87.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## *This was a Numerical Methods project for TripleTen. 👩🏽💻*
This project developed a predictive model to estimate the market value of used vehicles for Rusty Bargain, leveraging historical sales data and various car specifications. The goal was to create a model that balances accuracy, inference speed, and training efficiency, ultimately supporting real-time pricing predictions.
## Skills Highlighted
🔢 Numerical Methods & Comparing Methods
📉 Gradient Descent & Stochastic Gradient Descent (SGD)
🔁 Iterative Methods
🧠 Neural Networks
🧐 Computational Complexity & Algorithm Analysis
🚀 Gradient Boosting
👯♀️ Ensembles
## Installation & Usage
* This project uses pandas, pyplot, numpy, seaborn, time, lightgbm, catboost, and several sklearn libraries. It requires python 3.11. There data file for this project I was unable to upload due to upload limitations.