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Time_Series/.ipynb_checkpoints/Part2_Time_Series_Data_Price_Variation_ShiftingDataframes-checkpoint.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<b> Part 1 </b>: https://www.youtube.com/watch?v=OwnaUVt6VVE"
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"<b> Part 1 </b>: Sampling, Rolling Mean (Smoothing), Linear Regression, Filtering, Join, plotting of a Time Series Pandas DataFrame <br>\n",
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"https://www.youtube.com/watch?v=OwnaUVt6VVE"
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]
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},
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{
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"axes[2].set_title('Yearly');\n",
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"axes[2].set_xlabel('Year', fontsize=10);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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"metadata": {

Time_Series/Part2_Time_Series_Data_Price_Variation_ShiftingDataframes.ipynb

Lines changed: 2 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -20,7 +20,8 @@
2020
"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<b> Part 1 </b>: https://www.youtube.com/watch?v=OwnaUVt6VVE"
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"<b> Part 1 </b>: Sampling, Rolling Mean (Smoothing), Linear Regression, Filtering, Join, plotting of a Time Series Pandas DataFrame <br>\n",
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"https://www.youtube.com/watch?v=OwnaUVt6VVE"
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]
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},
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{
@@ -912,24 +913,6 @@
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"axes[2].set_title('Yearly');\n",
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"axes[2].set_xlabel('Year', fontsize=10);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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