"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/" }, ...
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 into the world of machine learn...
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_...
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...
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. ...
"source": [ "doc = pd.read_csv('Datasets.csv')\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "N3qauXcy3KN3", "outputId": "1c106ac1-3943-404d-bbb8-2397b5694e93" ...
"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...
" # 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 中的答案\n", "\t\t f.write(f\"{test_question['id']},{result[i].replace(',','')}\\n\")\n", "\n", "print(f\"Completed! Result is in {result_file}\")" ] } ], "metadata": {...
" 'EndUserData2021P2CWPState.csv',\n", " 'EndUserData2020P2CWPState.csv',\n", " 'EndUserData2020P2.csv',\n", " 'EndUserData2021P2_fix.csv',\n", " '__pycache__',\n", " 'net.py.gdoc',\n", " 'Hydric_Modeling',\n", ...