The piscine focuses on basic programming skills with Python and the most popular and useful data science libraries. The participants will be able to collect data with parsing, preprocess data using Pandas and SQL and build pipelines with machine learning algorithms.
This project is an introduction to natural language processing: bag of words, TFIDF, stemming, lemmatization, stop-words, cosine similarity, n-grams, word2vec
This project is an introduction to artificial neural nets: fully-connected neural nets, hidden layers, activation functions, back-propagation, dropout
This project is an introduction to algorithms used for recommendations: non-personalized, content-based, collaborative filtering.
This project is an introduction to deep learning and NLP: recurrent neural nets (RNN), LSTM, Transformer, BERT
This project is an introduction to time series analysis: stationarity, exponential smoothing, SARIMA
This project is an introduction to geospatial analytics: GeoPandas, clustering, making maps
This project is an introduction to Apache Spark (Python API) and network and graph analysis
This project is an introduction to Deep Learning and computer vision (CNN, instance segmentation, object detection, data labeling)