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Merge pull request #49 from JakeRadMSFT/main
Update all ML Notebooks to use Plotly.NET.CSharp and update all dependencies
2 parents f54f49f + c451a64 commit 83beea1

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machine-learning/01-Intro to Machine Learning.ipynb

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}
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"source": [
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"#r \"nuget: Microsoft.ML, 1.7.1\""
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"#r \"nuget: Microsoft.ML, 2.0.0-preview.22356.1\""
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],
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/html": "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 1.7.1</span></li></ul></div></div>"
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"text/html": "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 2.0.0-preview.22313.1</span></li></ul></div></div>"
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},
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"execution_count": 1,
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"metadata": {}
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": "Predicted price for size: 2500 sq ft= $275.99k\r\n"
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"text/plain": "Predicted price for size: 2500 sq ft= $275.59k\r\n"
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},
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"execution_count": 1,
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"metadata": {}

machine-learning/02-Data Preparation and Feature Engineering.ipynb

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}
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"source": [
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"#r \"nuget: Microsoft.ML, 1.7.1\""
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"#r \"nuget: Microsoft.ML, 2.0.0-preview.22356.1\""
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/html": [
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"<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 1.7.1</span></li></ul></div></div>"
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]
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"text/html": "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 2.0.0-preview.22313.1</span></li></ul></div></div>"
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},
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"execution_count": 1,
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"metadata": {}
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],
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": "Vendor_Id\tPayment_Type\n0 0 0\t\t0 0 0\n0 0 1\t\t0 0 1"
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"output_type": "execute_result",
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"data": {
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"text/plain": "0 0 1\t\t0 0 1\r\n"
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},
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"execution_count": 1,
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"metadata": {}
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"output_type": "execute_result",
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"text/plain": [
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"Rate_code: 0"
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]
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"text/plain": "Rate_code: 0"
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"execution_count": 1,
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machine-learning/03-Training and AutoML.ipynb

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machine-learning/04-Model Evaluation.ipynb

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machine-learning/E2E-Classification with Iris Dataset.ipynb

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machine-learning/E2E-Forecasting using Regression with Luna Dataset.ipynb

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machine-learning/E2E-Forecasting using SSA with Luna Dataset.ipynb

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machine-learning/E2E-Regression with Taxi Dataset.ipynb

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machine-learning/REF-Data Processing with DataFrame.ipynb

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machine-learning/REF-Graphs and Visualizations.ipynb

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