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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
House Prices Competition on Kaggle
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2 class from csv (CatBoost & Naive Bayes)
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Final project of course ML junior by Skillbox. Goal: Build model to predict client's loan default. Metrics: ROC-AUC
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