PinnedPeng QianinTowards Data ScienceKeras 3.0 Tutorial: End-to-End Deep Learning Project GuideImplement an encoder-decoder recurrent network from scratchMay 181May 181
PinnedPeng QianinTowards Data ScienceScikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib codeMar 213Mar 213
PinnedPeng QianinTowards Data ScienceCombining Multiprocessing and Asyncio in Python for Performance BoostsUsing a real-world example to demonstrate a map-reduce programMay 4, 20234May 4, 20234
Peng QianinTowards Data ScienceVisualizing What Batch Normalization Is and Its AdvantagesOptimizing your neural network training with batch normalizationFeb 31Feb 31
Peng QianinTowards Data ScienceEnsuring Correct Use of Transformers in Scikit-learn PipelineEffective data processing in machine learning projectsDec 20, 2023Dec 20, 2023
Peng QianinTowards Data ScienceHow to Optimize Multidimensional Numpy Array Operations with NumexprA real-world case study of performance optimization in NumpyOct 22, 20232Oct 22, 20232
Peng QianinTowards Data ScienceExploring Numexpr: A Powerful Engine Behind PandasEnhancing your data analysis performance with Python’s Numexpr and Pandas’ eval/query functionsSep 22, 20232Sep 22, 20232
Peng QianinTowards Data ScienceSeaborn 0.12: An Insightful Guide to the Objects Interface and Declarative GraphicsStreamlining your data visualization journey with Python’s popular libraryAug 24, 20232Aug 24, 20232
Peng QianinTowards Data ScienceEfficient k-Nearest Neighbors (k-NN) Solutions with NumPyLeveraging NumPy’s broadcasting, fancy Indexing, and sorting for performance computingJul 20, 20231Jul 20, 20231
Peng QianinTowards Data SciencePython Lists Vs. NumPy Arrays: A Deep Dive into Memory Layout and Performance BenefitsExploring allocation differences and efficiency gainsJul 14, 20233Jul 14, 20233