General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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Updated
Sep 18, 2022 - Jupyter Notebook
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
SF Brigade's Data Science Working Group.
Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
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…
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Hypothesis and statistical testing in Python
Parametric and non-parametric statistical tests
Shiny app to perform statistical inference on mean(s), proportion(s) and variance(s). See https://antoinesoetewey.shinyapps.io/statistics-201/
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
In this project we attempt to find the association between the probability of heart disease and various demographic or health factors of the patients including age, sex, chest pain type, cholesterol levels etc.
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if th…
Beginners Guide - Important Statistical concepts required for ML
A poisson e-test for python.
Assignment Basic Stats
Visualise the Results of Inferential Statistics using 'ggplot2'
General statistics and mathematical concept notebooks in Python
Udacity Data Analyst Nanodegree
A Library for Conformal Hyperparameter Tuning
Introduction to Statistics Stanford University
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