zip -r folder.zip . i folder_to_zip # !ls # kaggle - download zip file using id !conda install -y gdown !gdown --id 1Bp_-UNWtzPO_IHgypvD6PgoAxUGEcFfk # unzipping the folder , the contents are placed in Data->output->/kaggle/working # Currently each user is limited to 20GB...
I am trying to upload data onto my MongoDB Atlas database. The data are .csv files from the Kaggle Movies Datasethttps://www.kaggle.com/datasets/rounakbanik/the-movies-dataset. I have tried different methods, but nothing seems to work as it should. Method 1I first tried to upload the ...
1. Data Preprocessing and Model Training The first layer involves data preprocessing and training the AI model. ✨ Interested in the magic behind the scenes? Check out our detailed Model Training and Preprocessing Documentation to dive deep into how we prepared the data and trained our ensemble ...
If your methods have any particularities in these aspects including efficiency, exploiting event data sparsity, etc, \textbf{please specify in more detail in this section.} If this does not apply to your method you could leave this section blank. \subsection{Technical Details} Participants are ...
Machine learning algorithms build a mathematical model supported sample information, referred to as "training data", so as to create predictions or selections while not being expressly programmed to perform the task. Machine learning algorithms square measure employed in a good style of applications, ...
You can also work only with datatable dataframe, without the need to convert to pandas dataframe (this depends on the functionality that you want). A useful introduction to datatable : https://www.kaggle.com/sudalairajkumar/getting-started-with-python-datatable Share Improve this answer Follow ...
Test Dataset - 15% (Not used to train the model; assess how well the model is performing on new, un-seen data): 2,361 Epoch (The number of times the training dataset has been fed through the model): 60 Batch Size (batch = set of samples used in one iteration of training): 16...
The goal of this project is to make a deep learning model which will classify the images of butterfly using three pre-trained models. They are resnet,vgg,inception # What have I done? - Downloading the dataset form kaggle and unzipping it - Data viswalization - Made three Classification mo...
I am trying to upload data onto my MongoDB Atlas database. The data are .csv files from the Kaggle Movies Datasethttps://www.kaggle.com/datasets/rounakbanik/the-movies-dataset. I have tried different methods, but nothing seems to work as it should. ...
"kaggle": { "accelerator": "nvidiaTeslaT4", "dataSources": [ { "datasetId": 4459328, "sourceId": 7649639, "sourceType": "datasetVersion" } ], "dockerImageVersionId": 30646, "isGpuEnabled": true, "isInternetEnabled": true, "language": "python", "sourceType": "notebook" }, "kernel...