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1. mllib mllib Public

   In the project, a linear regression model is trained on California housing data in 1990. The goal is to predict the median value of a house in a residential area. The metrics RMSE, MAE and R2 are u…

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2. neural_network_building neural_network_building Public

   prediction of an absolute temperature on the surface of a star using neural networks

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3. personal_data_protection personal_data_protection Public

   The purpose - to protect the personal data of the insurance company's clients and to develop a data transformation method that makes it difficult to recover personal information. R2 metrics of Line…

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4. sentiment_analysis sentiment_analysis Public

   Purpose is to create a tool, which will be able to classify comments as to whether they are toxic or not. Used SpaCy, NLTK, Logistic Regression and GridSearchCV to achieve F1-score higher than 0,75…

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5. time_series time_series Public

   Taxi demand forecasting for the next hour , given historical data, as well as calendar signs, previous values, and a moving average.

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6. accident_risk accident_risk Public

   The purpose is to understand whether it is possible to predict the risk of an accident based on the historical data of one of the regions. The project implemented an analysis of the main factors of…

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