PinnedJavier FernandezinTowards Data ScienceThe statistical analysis t-test explained for beginners and expertsThis article describes the t-test with the goal of being useful for both advanced and beginners·7 min read·Apr 11, 2020--6--6
Javier FernandezMultiprocessing in PythonIntroducing the main Python libraries to do multiprocessing·7 min read·Mar 20, 2023----
Javier FernandezinTowards Data ScienceModel Evaluation in Time Series ForecastingIntroducing backtesting for time series using the Skforecast library·6 min read·Mar 5, 2023----
Javier FernandezinTowards Data ScienceIntroduction to ML in ProductionDigging into the machine learning cycle: scoping, data, modeling, and deployment·7 min read·Sep 7, 2022----
Javier FernandezinTowards Data ScienceCreating an ARIMA Model for Time Series ForecastingIntroducing and implementing the ARIMA model in the AirPassengers dataset·9 min read·Jul 4, 2022----
Javier FernandezinTowards Data ScienceTime-Series Forecasting Based on Trend and Seasonal componentsAnalyzing the trend and seasonality of the time-series to decompose the time-series and implement forecasting models·10 min read·Jun 20, 2022----
Javier FernandezinTowards Data ScienceChoose the appropriate normality testShapiro-Wilk test, Kolmogorov–Smirnov test, and D’Agostino-Pearson’s K² test·7 min read·Jun 12, 2022----
Javier FernandezinTowards Data ScienceLearn to differentiate these data rolesData Scientist, Data Analyst, Data Engineer, AI Researcher, ML Engineer, ML DevOps, and Business Analyst, among others·7 min read·Jun 5, 2022----
Javier FernandezinTowards Data ScienceSix Plots to Analyze your Time Series dataImplementing boxplots, Fourier transform, entropy, autocorrelation, and PCA to analyze your time series data in Python·6 min read·May 17, 2022----
Javier FernandezinTowards Data ScienceBias and Variance for Model AssessmentIntroduction to the bias-variance decomposition with a hands-on example in Python·7 min read·Apr 29, 2022----