150 skills found · Page 1 of 5
pdeitel / CPlusPlus20ForProgrammersCode examples for our book _C++ 20 for Programmers_ (Pearson, 2020)
AdminTurnedDevOps / PearsonCoursesNo description available
jwwam / TourismPro旅游网站，springboot2.0，前端页面+后台代码，皮尔逊相关系数的相似度算法(Pearson)
mfenner1 / Mlwpy CodeCode from the Pearson Addison-Wesley book Machine Learning with Python for Everyone
NoMod-Programming / PearsonEbookDownloaderDownloads E-Books "eText" from Pearson as a PDF file
noahgift / Aws Ml Guide[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
DavidMertz / ML WebinarMachine Learning with sklearn tutorials (for Pearson)
liorsidi / Sp500 Stock Similarity Time SeriesImprove S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
liquidSVM / LiquidSVMSupport vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
GalvanizeDataScience / Building Spark Applications Live LessonsSupporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
fuhailin / Recommender System利用MovieLens数据，Pearson相似度，分别基于User和Item构建一个简单的kNN推荐系统，并给出RMSE评测
sinanuozdemir / Building Agentic AICode repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.
google / Myelin Acorn Electron HardwarePhillip Pearson's retro hardware projects for the Acorn Electron
jambonrose / Python Web Dev 21 2Material for "Web Development in Python with Django" using Django 2.1, published as a Pearson LiveLesson on Safari Books Online
jonathandinu / Spark Ray Data ScienceSupporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.
DavidMertz / PyTorch WebinarMachine Learning with PyTorch tutorials (for Pearson)
WenYanger / Keras MetricsSome Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)
paiml / Python For Datascience[Video]Colab Notebooks for Python for Data Science by Pearson
lolz0r / Ganless HdThe basic idea is to utilize a U-Net, modified perceptual loss (pearson instead of MAE), learned basis functions, and "mean teacher" training in order to synthesize images of high quality without the normal troubles of training a GAN.
berenslab / Umi NormalizationCompanion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology
