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2,169 likesThis repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
Pokémon Analysis Andreas Nikolaidis February 2022 Introduction Exploratory Analysis Correlations & Descriptive Statistics Principal Component Analysis
My group and I took Covid-19 outbreak statistics from ontario, and analyzed them to find different patterns and future predictions for the virus
Make Better Defaults Author: Kjell Wooding [email protected] This is the git re
C$50 Finance In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below: Background If y
PipeChain Motivation PipeChain is a utility library for creating functional pipelines. Let's start with a motivating example. We have a list of Austra
DefAP is a program developed to facilitate the exploration of a material's defect chemistry. A large number of features are provided and rapid exploration is supported through the use of autoplotting
pydantic-collections The pydantic-collections package provides BaseCollectionModel class that allows you to manipulate collections of pydantic models
superSFS This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you s
topas-create-graphs A script to automatically plot the results of a topas simulation Works for percentage depth dose (pdd) and dose profiles (dp). Dep
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks
Titanic-data-analysis This Repo is an analysis on Titanic_mod.csv This csv file contains some assumed data of the Titanic ship after sinking This full
Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa
Table of contents Introduction Dataset Model & Metrics How to Run Quickstart Install Training Evaluation Detection DATA COMPETITION The COVID-19 pande
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it
unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type
reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:
BasstatPL is a package for performing different tabulations and calculations for descriptive statistics. It provides: Frequency table constr
ETL Pipeline with Airflow, Spark, s3, MongoDB and Amazon Redshift
PandasVault — Advanced Pandas Functions and Code Snippets The only Pandas utility package you would ever need. It has no exotic external dependencies
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