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/data | ||
__pycache__ | ||
.ipynb_checkpoints |
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# EDA | ||
This repo serves as code reference for the following TDS post *insert link* | ||
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## Set up environment | ||
1. Clone this repo | ||
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Open terminal (bash or powershell) | ||
``` | ||
git clone https://github.com/notha99y/EDA.git | ||
``` | ||
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2. Get Ananconda | ||
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Anaconda (download from [here](https://anaconda.org/anaconda/python)) | ||
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3. Create conda environment | ||
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``` | ||
conda env create -f=environment.yml | ||
``` | ||
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4. Get Data | ||
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The titanic dataset can be download from https://www.kaggle.com/francksylla/titanic-machine-learning-from-disaster. <br> | ||
Once downloaded, copy them into `data` folder from the root project directory. | ||
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## Get your hands dirty | ||
1. Create your own jupyter notebook <br> | ||
2. Import data in using pandas <br> | ||
3. Start playing with data and inventing your own style of EDA! |
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Download data from | ||
Download data from https://www.kaggle.com/francksylla/titanic-machine-learning-from-disaster |
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