Poisson Regression with Tidymodels for Package Vignette Counts
Learn to fit zero-inflated Poisson regression models using tidymodels to analyze R package vignette counts, with practical examples and code demonstrations.
Get Started With Tidymodels Using Vaccination Rate Data
Explore MMR vaccination rates using tidymodels in R, from data preparation to Bayesian modeling and result comparison.
Modeling Hotel Bookings in R Using Tidymodels and Recipes
Learn to predict hotel bookings using R, tidymodels, and recipes. Explore data, create visualizations, and build decision tree models to gain insights into booking patterns and improve predictions.
Quick Intro to R
Learn to install and use R programming language, covering basics like data creation, functions, statistics, and visualizations in this quick introduction.
Understanding Latency: Pitfalls, Lessons and Tools - Philly ETE 2014
Explore common pitfalls in latency measurement, learn techniques for accurate reporting, and discover open-source tools to improve confidence in application responsiveness analysis.
A Primer in Machine Learning
Explore machine learning fundamentals, including hypotheses, data representation, algorithms like regression and classification, and practical implementation using MATLAB.
Cancer Somatic Mutation Analysis - MAFTOOLS R Package
Learn to analyze cancer somatic mutations using MAFtools R package. Covers importing data, visualization techniques, driver detection, survival analysis, and comparing cancer cohorts for comprehensive mutation insights.
Survival Analysis on Cancer Data - RStudio Tutorial
Aprenda análise de sobrevivência em dados de câncer usando R. Tutorial prático sobre pipeline de análise, uso de dados TCGA, expressão gênica e modelagem preditiva para pesquisa biomédica.
Running Basic Statistical Analysis in R
Learn to perform essential statistical analyses in R, including correlation, linear modeling, t-tests, and heatmaps. Ideal for beginners seeking to leverage R's powerful command-line interface for data analysis.
NumPy Tutorial for Physicists, Engineers, and Mathematicians - 2022
Comprehensive NumPy tutorial for STEM professionals, covering array operations, calculus, statistics, linear algebra, and practical examples tailored to physics, engineering, and mathematics.
Python for Finance: Low Risk Investment Options - Part 3
Learn to analyze stocks using Python, covering correlation, risk minimization, ROI calculation, and portfolio optimization techniques for informed investment decisions.
Python for Finance - Introduction to Stock Market Analysis
Learn to analyze stock market data using Python, covering Numpy, Pandas, Matplotlib, data manipulation, statistical calculations, and visualization techniques for financial analysis.
Python for Data Analysts and Data Scientists
Comprehensive guide to Python essentials for data analysis, covering Jupyter notebooks, data structures, libraries, and advanced pandas operations for effective data manipulation and insights.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Learn Python for machine learning, covering key concepts, popular packages, and algorithms like linear regression and K-nearest neighbor. Gain practical skills for a high-paying career in this rapidly growing field.
Beyond CUDA: GPU Accelerated Machine Learning on Cross-Vendor Graphics Cards with Vulkan Kompute
Explore GPU-accelerated machine learning across multiple vendors using Vulkan Kompute. Learn parallel processing options, Vulkan basics, and implement a linear regression example on diverse graphics cards.
Random Walks for Particles - VPython for Physics
Explore particle behavior through random walks using VPython, simulating and visualizing stochastic processes in physics.
Handsome Macros in Rust - Intern Presentation
Explore advanced Rust topics: macros, code coverage, sandboxing, and applied statistics. Gain insights from Mozilla experts on enhancing Firefox's performance and security.
C# ASP.NET Core 3 Voting System - Statistics Interactor - Lecture 10
Develop a statistics interactor for a voting system using C# ASP.NET Core 3, focusing on displaying vote statistics in this beginner-friendly tutorial.
Learning Pandas - Start Here
Comprehensive overview of Pandas functionality, covering data I/O, DataFrame operations, filtering, statistics, grouping, and data manipulation techniques for efficient data wrangling and analysis.
Introduction to R Programming for Excel Users
Learn to apply Excel skills in R programming for data analysis, visualization, and advanced techniques. Discover how Excel concepts translate to R, enabling powerful data manipulation and insights.
Monetization Strategies for Google Play - Making More Money
Learn strategies to maximize revenue on Google Play, including payment options, localization, and optimization techniques for in-app transactions.