PinnedLuis MedinainTowards Data ScienceDL Notes: Advanced Gradient DescentThe main optimization algorithms used for training neural networks, dissected and implemented from scratch in PythonDec 5, 20232Dec 5, 20232
PinnedLuis MedinainTowards Data ScienceCreating a Gradient Descent Animation in PythonHow to plot the trajectory of a point over a complex surfaceNov 11, 2023Nov 11, 2023
PinnedLuis MedinaMaking a macro pad from scratchI designed and built a QMK/VIAL macro pad from scratch. Let me tell you about the things I learned as a beginner.Mar 25, 2023Mar 25, 2023
PinnedLuis MedinainThe PythoneersExtracting data from a REST API using PythonSimpler and more reliable than web scraping for getting data from the web.Mar 1, 2023Mar 1, 2023
Luis MedinaMDF4 Files to CSV: Handling Automotive Data Easily with Python and Open-Source ToolsUsing asammdf API and Pandas to handle automotive ASAM dataSep 11Sep 11
Luis MedinainPython in Plain EnglishLeveraging data aggregations in Python: using Pandas groupby method for data analysisI share the intuition that helped me understand Pandas GroupBy method and examples of how it can be so useful when analyzing data.May 18May 18
Luis MedinainTowards Data ScienceDL Notes: Gradient DescentHow Neural Networks “Learn”Nov 4, 2023Nov 4, 2023
Luis MedinainPython in Plain EnglishUnconventional Data Analysis: extracting test bench results with PythonA simple approach to extract information from a sequence of test pointsOct 11, 2023Oct 11, 2023
Luis MedinaDL Notes: Feedforward Artificial Neural NetworksThe basic concept, explainedOct 7, 2023Oct 7, 2023