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https://github.com/diegogallegos4/capstone_udacity
Udacity Machine Learning Engineer Capstone Project
https://github.com/diegogallegos4/capstone_udacity
kaggle-zillow machine-learning meta-ensemble python
Last synced: 4 days ago
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Udacity Machine Learning Engineer Capstone Project
- Host: GitHub
- URL: https://github.com/diegogallegos4/capstone_udacity
- Owner: DiegoGallegos4
- Created: 2018-01-30T04:54:21.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T00:37:19.000Z (about 2 years ago)
- Last Synced: 2024-12-06T22:07:13.657Z (20 days ago)
- Topics: kaggle-zillow, machine-learning, meta-ensemble, python
- Language: Jupyter Notebook
- Size: 3.58 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
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README
## Kaggle Zillow House Prediction Competition
- *meta_ensemble.py*: final submission containing meta ensemble.
- *Capstone.ipynb*: contains the summarized flow which includes exploratory data analysis, preprocessing, hyperparameter optimization and gradient boosting models training.
- *Alternate Ideas*: Attempts on trying different techniques on data.
### Datasets
Download following files from [Kaggle Zillow Home Valuation Competition Website](https://www.kaggle.com/c/zillow-prize-1)
- properties_2016.csv
- sample_submission.csv
- train_2016_v2.csv
- zillow_data_dictionary
### Install packages
```
pip install -r requirements.txt
```
- [Xgboost](https://github.com/dmlc/xgboost)
- [Lightgbm](https://github.com/Microsoft/LightGBM)
- [Tensorflow](https://www.tensorflow.org/install/)
- [Keras](https://keras.io/#installation)
### Run Jupyter Notebook
```
jupyter notebook Capstone.ipynb
```
### Run Python files
```
python meta_ensemble.py
```