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Change some paths and references
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MrMimic committed Mar 14, 2024
1 parent cd1007a commit 3209a15
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7 changes: 0 additions & 7 deletions 04_Machine-Learning/01_Machine_Learning_Basics.ipynb
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"display(Markdown(f\"\\n### 4. R-squared (R2):\"))\n",
"display(Markdown(f\"**R-squared:** {r2:.4f}\"))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Thank You!**"
]
}
],
"metadata": {
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7 changes: 0 additions & 7 deletions 04_Machine-Learning/04_Supervised_Machine_Learning.ipynb
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"\n",
"These categories and examples provide an overview of the diverse range of machine learning models, each tailored to specific learning tasks and applications. The choice of a model depends on factors such as the nature of the data, the problem at hand, and the desired outcomes."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Thank You!**"
]
}
],
"metadata": {
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},
"source": [
"# Reference:\n",
"1. [Analytics Vidya]( https://www.analyticsvidhya.com/blog/2021/10/everything-you-need-to-know-about-linear-regression) \n",
"2. [Google](https://www.google.com/)\n",
"3. [Github Copilot](https://copilot.microsoft.com/)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Thank You!**"
"1. [Analytics Vidya]( https://www.analyticsvidhya.com/blog/2021/10/everything-you-need-to-know-about-linear-regression) "
]
}
],
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"metadata": {},
"source": [
"# Reference:\n",
"1. [Analytics Vidya](https://www.analyticsvidhya.com/blog/2021/10/building-an-end-to-end-logistic-regression-model/)\n",
"2. [Google](https://www.google.com/)\n",
"3. [Github Copilot](https://copilot.microsoft.com/)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Thank You!**"
"1. [Analytics Vidya](https://www.analyticsvidhya.com/blog/2021/10/building-an-end-to-end-logistic-regression-model/)"
]
}
],
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