I found a workaround to this problem, I just put my dataset as a zip in Google Drive and I unzip it into the working directory in Kaggle, this doesn't work for a dataset bigger than 20Gb but it worked for me here is the link to how to access google drive files in kaggle:https:...
1 How to work with a kaggle dataset in a zip file? 2 Kaggle notebook is not able to read the dataset 0 Kaggle API in colab datasets `!kaggle datasets list` error 1 How to load Kaggle datasets into Intel DevCloud Jupyter Notebook 1 401-Unauthorized on importing dataset from kaggle ...
Fashion Tagger is a web application that classifies fashion items using an AI model trained on the Kaggle dataset. The model, built using an ensemble of CNNs, predicts labels like category and color for each uploaded image. The application provides an intuitive interface for users to interact wi...
I am trying to upload a dataset to kaggle using api. I used this command kaggle create -p <Path> But it gives message that folder in the path could not be uploaded and to use --dir-mode. I used that but it gives error that no such command present. So, how do I upload the fold...
"kaggle": { "accelerator": "nvidiaTeslaT4", "dataSources": [ { "datasetId": 4459328, "sourceId": 7649639, "sourceType": "datasetVersion" } ], "dockerImageVersionId": 30646, "isGpuEnabled": true, "isInternetEnabled": true, "language": "python", "sourceType": "notebook" }, "kernel...
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First, sampling is applied to convert the initial unbalanced dataset into a group of latest datasets with totally different levels of imbalance magnitude relation. Second, typical prediction models square measure selected to create predictions on these new created datasets, and constant of Variation (C...
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. ...
Here is the link of the dataset :https://www.kaggle.com/bertcarremans/butterfly-images # Goal 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? - ...
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...