You are welcome to use our dataset without using our starter code. However, if you'd like to compete on Kaggle, then you must make sure that you are able to produce a prediction CSV file produced by ourinference.py. In particular, thepredictions CSV filemust have two fields:Class Id,Seg...
This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle. - ayushoriginal/HandWritingRecognition-CNN
There are 14 properties associated with each atom, but they are just ‘one-hot’ encodings of the names of each of the 14 possible elements in the dataset: ‘C’, ‘O’, ‘Cl’, ‘H’, ‘N’, ‘F’,’Br’, ‘S’, ‘P’, ‘I’, ‘Na’, ‘K’, ‘Li’, ‘Ca’. The ed...
That’s now possible, thanks to a new Google AI experiment. Dubbed MusicFX (formerly MusicLM), it’s a new kind ofgenerative AIthat can create brand-new music. TheAI music generator toolis a lot like text-to-image converters where you simply type in a few lines of text to get beauti...
Kaggle –one of the best, if not the best, resource for trying ML for yourself. Here you can also find data sets divided into categories with usability scores (an indicator that the dataset is well-documented). Amazon Datasets –lots of datasets stored in S3, available for quick deployment...
Census income classification with LightGBM - Using the standard adult census income dataset, this notebook trains a gradient boosting tree model with LightGBM and then explains predictions using shap. League of Legends Win Prediction with XGBoost - Using a Kaggle dataset of 180,000 ranked matches fr...
Check that the performance computed on the sampled dataset used by the periodic job matches the performance on the whole offline evaluation set, i.e. there is no skew between the sampled set and the full dataset. The dataset used for periodic evaluation should be small enough that it’s easy...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Amazon Products Dataset (+1M Products)