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House Predictions/.ipynb_checkpoints/House_Prediction_EDA-checkpoint.ipynb
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House Predictions/.ipynb_checkpoints/House_Prediction_Feature_Engineering-checkpoint.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "bb7ca2ca", | ||
"metadata": {}, | ||
"source": [ | ||
"## House Price Prediction" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "da6bcea0", | ||
"metadata": {}, | ||
"source": [ | ||
"## LifeCycle of a DataScience Project\n", | ||
"\n", | ||
"1. Data Analysis\n", | ||
"2. Feature Engineering\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "59a85ffa", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.8" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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House Predictions/.ipynb_checkpoints/House_Prediction_Feature_Selection-checkpoint.ipynb
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{ | ||
"cells": [], | ||
"metadata": {}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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