Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/chinmayrane16/diamonds-in-depth-analysis
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
https://github.com/chinmayrane16/diamonds-in-depth-analysis
data-visualization feature-engineering feature-scaling machine-learning matplotlib numpy pandas seaborn
Last synced: about 2 months ago
JSON representation
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
- Host: GitHub
- URL: https://github.com/chinmayrane16/diamonds-in-depth-analysis
- Owner: Chinmayrane16
- License: mit
- Created: 2018-07-10T06:22:47.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-08-22T15:20:34.000Z (over 6 years ago)
- Last Synced: 2024-10-10T19:10:14.389Z (2 months ago)
- Topics: data-visualization, feature-engineering, feature-scaling, machine-learning, matplotlib, numpy, pandas, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.94 MB
- Stars: 18
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Diamonds-In-Depth-Analysis
**Diamonds**
* Given dataset of Diamonds with features such as Cut, Carat, Clarity etc.
* I have used Libraries such as _Pandas, Numpy, Matplotlib, Seaborn_ to Analyse and Estimate the **Price of Diamonds** based on the features.
* Used _Scikit-Learn_ to implement Regression models to improve the **R2 Score**.
* Analyzed and Visualized both the distribution of Categorical and Numerical Features.
* Used StandardScaler to Scale the numerical values.
* Finally, I have Tuned the Parameters with the help of _GridSearchCV_.