"test_module = pd.read_csv('/content/drive/MyDrive/datasets_8494_11879_test_BdBKkAj.csv',encoding='ISO-8859-1',engine='c')\n", "test_module.info()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, ...
"file_path = 'Model-prompts-example.csv'\n", "\n", "# load the csv file as a pandas DataFrame\n", "data = pd.read_csv(file_path)\n", "\n", "data.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 81 }, "id": "aKcWr015WNPm...
Here is an example I have been using to convert Yolo v5 PyTorch bounding box to Edge Impulse Bounding Box ingestion format:https://colab.research.google.com/drive/1ff-T7J2o4tLA4bgiqFvigJML4YMv3xJQ?usp=sharing:16 What I have been doing is: Get the public dataset, unzip it Create a ei_...
Say I created a numpy or csv data file in the notebook, how would I donwload it or upload some place that I can use later? For example, is it possible to upload the files to my Kaggle account some how? Pleasesign into reply to this topic. ...
Original file is located at https://colab.research.google.com/drive/191U1FhoUd6HHbwD2BQv036SG04RX9rJ5 # Predicting SpaceX Falcon 9 First Stage Landing: A Journey into Machine Learning and Artificial Intelligence Collecting the data In this project, you will embark on an exciting journey int...
CSV file I/O (misalnya pd.read_csv)\n","import string # untuk operasi string\n","\n","lemma = WordNetLemmatizer() # Inisialisasi WordNetLemmatizer\n","# Download data untuk pemrosesan bahasa alami\n","nltk.download('punkt')\n","nltk.download('stopwords')\n","nltk.d...
Original file line numberDiff line numberDiff line change @@ -0,0 +1,685 @@ { "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "view-in-github" }, "source": [ "" ] }, { "cell_type": "code", "execution_count": 2, "metadata": ...
"result_file = \"result.csv\"\n", "with open(result_file, 'w') as f:\t\n", "\t f.write(\"ID,Answer\\n\")\n", "\t for i, test_question in enumerate(test_questions):\n", " # 用空字符串替换答案中的逗号(因为 csv 用逗号分隔)\n", " # 以相同方式处理 kaggle 中的...
Original file line numberDiff line numberDiff line change @@ -0,0 +1,669 @@ { "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "view-in-github" }, "source": [ "" ] }, { "cell_type": "code", "execution_count": 2, "metadata": ...