An open source book to learn data science, data analysis and machine learning, suitable for all ages!
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Updated
Apr 14, 2024 - TeX
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
R Package to Quickly and Neatly Summarize Data
I will update this repository to learn Machine learning with python with statistics content and materials
Analytics & Machine Learning R Sidekick
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descri…
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
Kai Sheng Teh - Udacity Data Analyst Nanodegree
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
Personal repository of data science demonstrations and references
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
A Python library for calculating a large variety of metrics from text
An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.
Investigate a dataset of appoinment records for Brasil public hospitals
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
Generate descriptive statistics
Unix command line tool for statistics.
Easy and thorough description of datasets
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats
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