文件列表:

CIFAR10 with Transfer Learning/ (0, 2020-10-10)
CIFAR10 with Transfer Learning/CIFAR_10_with_transfer_learning.ipynb (494108, 2020-10-10)
Classification MNIST with ANN/ (0, 2020-10-10)
Classification MNIST with ANN/MNIST_ANN.ipynb (28457, 2020-10-10)
Classification of CIFAR10 with CNN/ (0, 2020-10-10)
Classification of CIFAR10 with CNN/CIFAR_10.ipynb (483977, 2020-10-10)
Dog Cat Classification/ (0, 2020-10-10)
Dog Cat Classification/dog_cat_cnn.ipynb (937417, 2020-10-10)
House Price Prediction with Gradient Descent/ (0, 2020-10-10)
House Price Prediction with Gradient Descent/house_pred_gradient_boost.ipynb (40612, 2020-10-10)
House Price Prediction with Gradient Descent/house_trained_model_optimised.pkl (882919, 2020-10-10)
House Price Prediction with Linear Reg Optimised by RandomSearchCV/ (0, 2020-10-10)
House Price Prediction with Linear Reg Optimised by RandomSearchCV/house_price_prediction_linear_reg.ipynb (42038, 2020-10-10)
Keras Image Generator/ (0, 2020-10-10)
Keras Image Generator/keras_image_generator.ipynb (2638, 2020-10-10)
kaggle exercises/ (0, 2020-10-10)
kaggle exercises/Pandas/ (0, 2020-10-10)
kaggle exercises/Pandas/exercise-creating-reading-and-writing.ipynb (5488, 2020-10-10)
kaggle exercises/Pandas/exercise-data-types-and-missing-values.ipynb (12963, 2020-10-10)
kaggle exercises/Pandas/exercise-grouping-and-sorting.ipynb (6071, 2020-10-10)
kaggle exercises/Pandas/exercise-indexing-selecting-assigning.ipynb (7907, 2020-10-10)
kaggle exercises/Pandas/exercise-summary-functions-and-maps.ipynb (22412, 2020-10-10)

Two house prediction models - Gradient Boost - Linear Regression Fine tuned with RandomSearchCV Classification of Handwritten Numbers (MNIST dataset) - ANN Classification of images in 10 categories (CIFAR10 dataset) - CNN - CNN with transfer learning Classification of CAT - DOG images - CNN with data augmentation

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