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2021-02-05 20:44:51 +00:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "VvyjASrX8ioW"
},
"outputs": [],
"source": [
"algorithm = ['Linear Regression', 'Logistic Regression', 'RandomForest', 'a3c']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "RyYIgCN28_P0"
},
"outputs": [],
"source": [
"learning = ['Supervised', 'Supervised', 'Supervised', 'Reinforcement']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "ZEqFtWds9JFy"
},
"outputs": [],
"source": [
"algorithm_type = ['Regression', 'Classification', 'Regression or Classification', 'Game AI']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "nBjdkC8F-M6f"
},
"outputs": [],
"source": [
"algorithm.append('k-means')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"colab_type": "code",
"id": "6Bc-Nys6-f9X",
"outputId": "2e659ba1-0233-4b1a-c21a-0d24a571340c"
},
"outputs": [],
"source": [
"print(algorithm)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "bPoVJ0gA-Yq0"
},
"outputs": [],
"source": [
"learning.append('Unsupervised')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"colab_type": "code",
"id": "NueuDyh--iRC",
"outputId": "c4efc760-f567-4441-9c3e-a99485b7ab5e"
},
"outputs": [],
"source": [
"print(learning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "Z6GfEOi4-Yxl"
},
"outputs": [],
"source": [
"algorithm_type.append('Clustering')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"colab_type": "code",
"id": "06CEQM6A-ldI",
"outputId": "688bf554-04cb-440f-c04d-80e9ea03571b"
},
"outputs": [],
"source": [
"print(algorithm_type)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "6Toy0a4y-qMa"
},
"outputs": [],
"source": [
"machine_learning = {}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "a0p_KDXJ-68D"
},
"outputs": [],
"source": [
"machine_learning['algorithm'] = algorithm"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"colab_type": "code",
"id": "hb48dYN_-_hu",
"outputId": "4ca37e06-6de8-4681-ad6f-06cd84a3cc19"
},
"outputs": [],
"source": [
"print(machine_learning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "2h3CZGxe_CmY"
},
"outputs": [],
"source": [
"machine_learning['learning'] = learning"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "Clilnrf9_GrS"
},
"outputs": [],
"source": [
"machine_learning['algorithm_type'] = algorithm_type"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
},
"colab_type": "code",
"id": "SF8j6lU4E5bN",
"outputId": "cd12c38e-2e2c-416a-f85d-eaca4445421c"
},
"outputs": [],
"source": [
"print(machine_learning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "pzWrjP4m_Z_Q"
},
"outputs": [],
"source": [
"machine_learning['algorithm'].remove('a3c')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"colab_type": "code",
"id": "OSQxcCPZ_gm2",
"outputId": "01f6a768-e5b5-4cac-c9b8-065aeb19a49b"
},
"outputs": [],
"source": [
"print(machine_learning['algorithm'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "SNQ5fW27_jK8"
},
"outputs": [],
"source": [
"machine_learning['learning'].remove('Reinforcement')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "cOrBI2wW_qMS"
},
"outputs": [],
"source": [
"machine_learning['algorithm_type'].remove('Game AI')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
},
"colab_type": "code",
"id": "J80kpqB8_6RE",
"outputId": "c9201e78-8da3-4a31-e3ef-9fbd49d5f567"
},
"outputs": [],
"source": [
"print(machine_learning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "Exercise1_01.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.6"
}
},
"nbformat": 4,
"nbformat_minor": 1
}