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Description: Binary classification problem - prediction if a person will click on the advertisement or not
Algorithms: Logistic Regrssion, Random Forest
Source of data: https://www.kaggle.com/fayomi/advertising#advertising.csv

Description: Predicting Boston houses price
Algorithms: Linear Regression, Random Forest Regressor
Source of data: https://www.kaggle.com/altavish/boston-housing-dataset

Description: Predicting California houses price
Algorithms: Linear Regression, Decision Tree Regressor, Random Forest Regressor
Source of data: https://raw.githubusercontent.com/ageron/handson-ml2/master/

Description:
Classification of handwritten digits from MNIST database
Algorithms: SVC, OneVsRestClassifier, SGDClassifier
Source of data: sklearn datasets "mnist_784"