statistics-learning

There are 77 repositories under statistics-learning topic.

  • AI-Algorithmic-Engineer-Manual

    3

  • StatisticsWithJuliaPlutoNotebooks.jl

    Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).

    Language:Julia79

  • R-Examples

    R Code Examples for Data Analytics

    Language:R39

  • python-data-analytics-course

    A 12 week intensive course about Python and data science.

    Language:HTML21

  • IPS9

    Examples from the book Introduction to the Practice of Statistics

    Language:Jupyter Notebook20

  • intro_stats

    Introduction to Statistics: an integrated textbook and workbook using R

    Language:TeX17

  • Stat4Econ

    Introductory Statistics for Economists (Undergraduate Intro Course)

    Language:R16

  • cogstat

    A simple to use statistical package.

    Language:Jupyter Notebook15

  • CSHstats

    R vignettes/pkgdown for elementary statistics for a summer course

    Language:R14

  • Statistics-For-Data-Science

    Statistics is a vital foundation for data science and machine learning, offering insights into data behavior through probability, distributions, and key analyses like T Test and Chi-Square.

    Language:HTML12

  • std-dev

    Your Swiss Army knife for swiftly processing any amount of data.

    Language:Rust8

  • Data_Prediction

    快速计算商旅轨迹 非线性坐标数据分析

    Language:Java7

  • Stats-EEG-Tutorial

    Some materials from my "Introduction to Statistics and EEG Analysis" course, taught in weekly lab meetings.

    6

  • QMS-EN

    Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/

    Language:TeX6

  • Statistics-for-Data-Science-using-R

    Learn the core statistical concepts, followed by application of these concepts using R Studio with the a nice combination of theory and practice. Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

    5

  • DP-Streaming-SCO

    Official Implementation of On Optimal Private Online Stochastic Optimization and High Dimensional Decision Making

    Language:Jupyter Notebook4

  • DS

    DataScience

    Language:Jupyter Notebook4
  • OxMaths.obsidian

    OxMaths.obsidian

    QSD.OX.MATHS.OBSIDIAN

    Language:CSS3

  • statsbook

    Estatística Decodificada (livro)

    Language:Jupyter Notebook3

  • KMS-NL

    tekstboek Kwantitatieve Methoden en Statistiek (Nederlandstalige versie, NL), beschikbaar via https://hugoquene.github.io/KMS-NL/

    Language:TeX3

  • StatisticsLearning-JunZhu

    Statistics Learning Course by JunZhu

    Language:Terra3

  • Stats1101

    Notes for Statistics UN1101, Columbia University

    Language:Jupyter Notebook2

  • x10mrrobot01x.github.io

    MAT-243 Applied Statistics for STEM Notes

    2

  • Statistics_Cheatsheets

    Statistics Cheatsheets

    Language:TeX2

  • SkinDetection-KMeansClustering

    This repository contains MATLAB code for skin detection using k-means color clustering. The project aims to segment skin regions in images of hands with different backgrounds by implementing repetitive k-means clustering and probability thresholding.

    Language:MATLAB1

  • Machine_Learning

    Some notes and codes in the process of learning machine learning | 机器学习基础算法的笔记和代码 | KNN (k近邻) | Linear Model (线性模型) | SVM (支持向量机) | Decision Tree (决策树)

    Language:Jupyter Notebook1

  • COCO-annotations-analysis

    NLP - descriptive statistics of COCO annotations via Python COCO-API

    1
  • fstaple.github.io

    fstaple.github.io

    fstaple is a free, lightweight, and modern rewrite of stapplet.com.

    Language:JavaScript1

  • itns-tutorials

    Interactive tutorials for "Introduction to The New Statistics" (ITNS) - WIP

    Language:HTML1

  • Statistical-Analysis-on-the-views-of-Americans-on-science-and-technology-development

    Statistical Analysis on the Views of Americans in the field of science and technology development in the distinct future.

    1

  • R-Programming-Basics

    R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. Sample exersies of R Programming for Machine learning for training an developmeny

    Language:Jupyter Notebook1

  • Probability-and-Stochastic-Processes-Cheatsheet

    Formula Sheet for Ph.D Qualifying Exams in Probability and Stochastic Processes

    1

  • StatisticalDesign

    Scripts and data from George Casella's Statistical Design

    Language:R1

  • breastCancer

    Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.

    1

  • Fundamentals-of-Data-Analytics

    Fundamentals of Data Analytics module. Assignment concerning Anscombe's quartet data set in Jupyter.

    Language:Jupyter Notebook1

  • spam_classifier

    A simple spam classifier using SVM with a linear kernel.

    Language:MATLAB1