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add a fix to #764 #766

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Aug 19, 2024
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add a fix to #764 #766

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07d0042
add a fix to #764
Aug 19, 2024
a7998fa
run pre-commit
Aug 19, 2024
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20 changes: 12 additions & 8 deletions jupyter_english/topic01_pandas_data_analysis/topic1_pandas_data_analysis.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -290,7 +290,10 @@
"\n",
"Let's use it to answer the question:\n",
"\n",
"**What are average values of numerical features for churned users?**\n"
"**What are average values of numerical features for churned users?**\n",
"\n",
"\n",
"Here we'll resort to an additional method `select_dtypes` to select all numeric columns."
]
},
{
Expand All @@ -299,14 +302,15 @@
"metadata": {},
"outputs": [],
"source": [
"df[df[\"Churn\"] == 1].mean()"
"df.select_dtypes(include=np.number)[df[\"Churn\"] == 1].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**How much time (on average) do churned users spend on the phone during daytime?**"
"**How much time (on average) do churned users spend on the phone during daytime?**\n",
"\n"
]
},
{
Expand Down Expand Up @@ -396,7 +400,7 @@
"metadata": {},
"outputs": [],
"source": [
"df.apply(np.max)"
"df.apply('max')"
]
},
{
Expand Down Expand Up @@ -522,7 +526,7 @@
"source": [
"columns_to_show = [\"Total day minutes\", \"Total eve minutes\", \"Total night minutes\"]\n",
"\n",
"df.groupby([\"Churn\"])[columns_to_show].agg([np.mean, np.std, np.min, np.max])"
"df.groupby([\"Churn\"])[columns_to_show].agg(['mean', 'std', 'min', 'max'])"
]
},
{
Expand Down Expand Up @@ -809,7 +813,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -823,9 +827,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
2 changes: 1 addition & 1 deletion mlcourse_ai_jupyter_book/book/topic08/topic08_sgd_hashing_vowpal_wabbit.md
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Expand Up @@ -857,4 +857,4 @@ This section has been moved to Kaggle, please explore [this Notebook](https://ww
- ["Convex Optimization" by Stephen Boyd](https://www.amazon.com/Convex-Optimization-Stephen-Boyd/dp/0521833787)
- "Command-line Tools can be 235x Faster than your Hadoop Cluster" [post](https://adamdrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html)
- Benchmarking various ML algorithms on Criteo 1TB dataset on [GitHub](https://github.com/rambler-digital-solutions/criteo-1tb-benchmark)
- [VW on FastML.com](http://fastml.com/blog/categories/vw/)
- [VW on FastML.com](http://fastml.com/blog/categories/vw/)
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