R Package to Quickly and Neatly Summarize Data
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descriptive-statistics
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A Python library for calculating a large variety of metrics from text
python nlp statistics spacy readability descriptive-statistics syntactic-analysis spacy-extension readability-scores dependency-distance
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Analytics & Machine Learning R Sidekick
visualization api marketing data-science machine-learning automation r puzzle analytics h2o rstats r-package predictive-modeling descriptive-statistics mmm automl rlanguage robyn
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R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
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An open source book to learn data science, data analysis and machine learning, suitable for all ages!
visualization learning data-science machine-learning statistics big-data analytics data-analysis predictive-analysis predictive-modeling data-preparation descriptive-statistics
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An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
cran r statistics modeling reporting r-package descriptive-statistics baseline-characteristics tableone paired-comparisons
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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…
data-science statistics probability python3 statistical-analysis ab-testing inferential-statistics jupyter-notebooks descriptive-statistics normal-distribution binomial-distribution comparative-statistics
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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.
data-science probability mathematics econometrics parameter-estimation hypothesis-testing descriptive-statistics frequentist-statistics anova-analysis
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Easy and thorough description of datasets
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Personal repository of data science demonstrations and references
python machine-learning linear-algebra regression datascience predictive-modeling descriptive-statistics
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I will update this repository to learn Machine learning with python with statistics content and materials
python data-science machine-learning statistics random-forest numpy linear-regression machine-learning-algorithms python3 logistic-regression machinelearning modelling data-preprocessing practise decision-tree descriptive-statistics bias covariance bagging machinelearning-python
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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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Statistics for Data Science and Machine Learning Handwritten Notes
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Kai Sheng Teh - Udacity Data Analyst Nanodegree
python json machine-learning udacity r statistics numpy sklearn pandas data-visualization data-analysis data-wrangling tableau descriptive-statistics data-analyst-nanodegree
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A small collection of lesser-known statistical measures
python data-science statistics math numpy statistical-analysis data-analytics scipy data-analysis mathematical-statistics mathematical-functions descriptive-statistics robust-statistics
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R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.
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This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
machine-learning ggplot2 r sql neural-network random-forest graphics forecast imputation logistic-regression decision-trees cdc descriptive-statistics waffle-charts descriptive-analytics reaserch ordinal-regression nhanes correlation-matrices rnhanes
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Introduction to Statistics Stanford University
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This repository contains codes and data related to the project Multi-human detection with impulse radio ultra-wideband (ir-uwb) radar sensors.
python iot machine-learning r signal-processing detection radar sensor jupyter-notebook feature-extraction feature-engineering human-computer-interaction descriptive-statistics
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