Daniel J. TOTHinTowards Data ScienceNeural Network (MLP) for Time Series Forecasting in PracticeA Practical Example for Feature Engineering and Constructing an MLP ModelJul 81Jul 81
Daniel J. TOTHinTowards Data ScienceBinary Classification: XGBoost Hyperparameter Tuning Scenarios by Non-exhaustive Grid Search and…Practical example of balancing model performance and computational resource limitations — with code and visualizationAug 28, 20211Aug 28, 20211
Daniel J. TOTHinAnalytics VidhyaMulti seasonal time series analysis: decomposition and forecasting with PythonA practical example for analyzing a complex seasonal time series with 100,000+ data points by the Unobserved Components ModelJul 21, 20213Jul 21, 20213
Daniel J. TOTHinAnalytics VidhyaExploratory data analysis (EDA) of non-seasonal time seriesSelected EDA tools for gaining insightsJun 21, 2021Jun 21, 2021
Daniel J. TOTHPredicting soil texture from laboratory analysis results of selected parameters and comparison of…A data science project for justifying empirical observation in the labFeb 3, 2021Feb 3, 2021
Daniel J. TOTHPredicting soil texture from lab analysis results of selected parameters and comparison of models…A data science project for justifying empirical observation in the labFeb 1, 2021Feb 1, 2021
Daniel J. TOTHPredicting soil texture from lab analysis results of selected parameters and comparison of models…A data science project for justifying empirical observation in the labJan 28, 2021Jan 28, 2021
