MIPT DLS machine learning & data analysis course

Datasets:

CV:

• Black Friday : https://www.kaggle.com/sdolezel/black-friday
• Forest Dataset (Basic classification) : https://www.kaggle.com/c/forest-cover-type-prediction
• Apple store : https://www.kaggle.com/ramamet4/app-store-apple-data-set-10k-apps
• House price prediction (Advanced regression techniques) : https://www.kaggle.com/c/house-prices-advanced-regression-techniques
• MNIST : http://yann.lecun.com/exdb/mnist/
• CIFAR 10 (Basic CNN) : http://www.cs.toronto.edu/~kriz/cifar.html
• Simpsons (Advanced CNN) : https://www.kaggle.com/c/journey-springfield
• ADDI Project (PH2 Dataset images, Segmentation) : https://www.dropbox.com/s/k88qukc20ljnbuo/PH2Dataset.rar
• Labeled Faces in the Wild (Encoders) :
  • data http://vis-www.cs.umass.edu/lfw/lfw-deepfunneled.tgz
  • attributes http://www.cs.columbia.edu/CAVE/databases/pubfig/download/%s

NLP: