Материали

#	Лекция	Дата
0	Въведение в Machine Learning	2017-10-10
1	Линейна и логистична регресия	2017-10-12
2	Въведение в Python	2017-10-17
3	Разглеждане на дата сет, трениране на модел и оптимизиране	2017-10-19
4	Decision trees и random forests	2017-10-24
5	Титаник: класификация, data exploration, feature engineering	2017-10-26
6	Оценяване на модел и cross validation	2017-10-31
7	Spooky Author Identification	2017-11-02
8	SVM, Transformers, Pipelines	2017-11-07
9	Unsupervised Learning	2017-11-14
10	Unsupervised Learning, pt. 2	2017-11-16
11	NumPy, SciPy, Pandas, Matplotlib, Seaborn	2017-11-21
12	Математиката зад линейната и логистичната регресия	2017-11-23
13	Невронни мрежи и backpropagation	2017-11-28
14	Tensorflow and Keras	2017-12-07
15	Автоенкодери	2017-12-12
16	WordEmbeddings	2017-12-12
17	MachineTranslation	2017-12-19
18	Convolutional Neural Networks	2018-01-04
19	Convolutional Neural Networks part 2	2018-01-09
20	Recurrent Neural Networks	2018-01-11

Machine Learning с Python