{ "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 }