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Refactoring
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13 files changed

+9161
-35
lines changed

Module 4 - Machine Learning/02. Working with Text Data/2. Case Sudy - Email Spam Filtering (BOW and TFIDF Approach)/email_spam_filtering_bow.ipynb

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{
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"cell_type": "code",
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"execution_count": 49,
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"metadata": {
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"scrolled": false
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},
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"metadata": {},
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"outputs": [
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"data": {
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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"version": "3.9.13"
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}
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},
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"nbformat": 4,

Module 5 - MLOPs/1. Model Serialization and Deserialization/prod_pickle.ipynb renamed to Module 5 - MLOPs/1. Model Serialization and Deserialization/1. Iris Prediction/prod_pickle.ipynb

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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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"version": "3.9.13"
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},
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"toc": {
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"nav_menu": {},
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}

Module 5 - MLOPs/1. Model Serialization and Deserialization/prod_unpickle.ipynb renamed to Module 5 - MLOPs/1. Model Serialization and Deserialization/1. Iris Prediction/prod_unpickle.ipynb

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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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"name": "stderr",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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"version": "3.9.13"
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}
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},
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"nbformat": 4,

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