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JonathanReeve/05-nyu-pit-ml.ipynb

Created June 25, 2021 13:43
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05-nyu-pit-ml.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "05-nyu-pit-ml.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyOhXIXoNtC6QsxXgQdb3c/I",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/JonathanReeve/64ad4a25e37528e25fd6ee2af5aa0d18/05-nyu-pit-ml.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "RN2AGSNgSTa0"
},
"source": [
""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "EDTMx8jUTFzU"
},
"source": [
"- Machine learning\n",
"- Artificial intelligence (neural net)"
]
},
{
"cell_type": "code",
"metadata": {
"id": "D_s00s1DTY46"
},
"source": [
"import nltk\n",
"import spacy\n",
"from nltk.corpus import gutenberg\n",
"import pandas as pd\n",
"from sklearn.decomposition import PCA\n",
"from plotly import express as px\n",
"from sklearn.cluster import KMeans"
],
"execution_count": 29,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Tj58z97xTy1X",
"outputId": "5dac1931-216e-406d-cb26-de451403d3e7"
},
"source": [
"nltk.download('gutenberg')"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"[nltk_data] Downloading package gutenberg to /root/nltk_data...\n",
"[nltk_data] Unzipping corpora/gutenberg.zip.\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {
"tags": []
},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BAj9gn-rT1w_",
"outputId": "ef602191-8a20-459f-b206-82e3164c04c0"
},
"source": [
"spacy.cli.download('en_core_web_lg')"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"\u001b[38;5;2m✔ Download and installation successful\u001b[0m\n",
"You can now load the model via spacy.load('en_core_web_lg')\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LcL3lVpHT5FY"
},
"source": [
"nlp = spacy.load('en_core_web_lg')"
],
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "IvNt0WDMT9l1"
},
"source": [
"emmaRaw = gutenberg.raw(gutenberg.fileids()[0])"
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "qhIB7wV9VlWH"
},
"source": [
"emmaDoc = nlp(emmaRaw)"
],
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "L8vTfUXRVmYw"
},
"source": [
"emmaNouns = [w for w in emmaDoc if w.pos_ == \"NOUN\"][:100]"
],
"execution_count": 8,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "8JfHBRZpYiHG"
},
"source": [
"list(emmaDoc.noun_chunks)[:20]"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "IT6ozzJTVzdX"
},
"source": [
"emmaVecs = [w.vector for w in emmaNouns]"
],
"execution_count": 10,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "vuOLn03YWnmU"
},
"source": [
"emmaNouns"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "tuDrTrLHX0qB"
},
"source": [
"labels = [str(w) for w in emmaNouns]"
],
"execution_count": 23,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "4VKWw0QyV0iQ"
},
"source": [
"df = pd.DataFrame(emmaVecs)"
],
"execution_count": 14,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "vKNXm26LWD70"
},
"source": [
"pca = PCA(n_components=3)"
],
"execution_count": 18,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "NgL9-0shWNvm"
},
"source": [
"pcaOut = pca.fit_transform(df)\n",
"pcaDf = pd.DataFrame(pcaOut)"
],
"execution_count": 21,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"id": "EKvUHo5UXX67",
"outputId": "bf1ff5f7-8d3a-4d9e-88d6-0e9c3b2c710e"
},
"source": [
"px.scatter_3d(pcaDf, x=0, y=1, z=2, text=labels)"
],
"execution_count": 24,
"outputs": [
{
"output_type": "display_data",
"data": {
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]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "ggKSil4yXtie"
},
"source": [
"kmeans = KMeans(n_clusters=4)\n",
"kmeansOut = kmeans.fit_transform(pcaDf)"
],
"execution_count": 30,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_Gt7sZdAZHAf",
"outputId": "00b876cb-a315-4a3d-f5f6-ca73575624ae"
},
"source": [
"kmeans.cluster_centers_"
],
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[ 1.13557154, 3.43711628, 4.16483753],\n",
" [-0.34541061, -1.37005317, 0.25224662],\n",
" [-2.03815816, 1.83665998, -0.27825495],\n",
" [ 2.32812401, 0.7314328 , -0.98669058]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 31
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "JwyyZi2vZK_8"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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