Notes/slides and notebooks for the course PATC: Introduction to Big Data Analytics 2022 - Practical Data Analytics for Solving Real World Problems
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Processo de ETL (extração, transformação, carregamento) realizado pela equipe no projeto final do curso da Soul Code Academy.
Python-Practicum Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the
mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch
Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which
Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic
Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter
Leetcode compensations report Scraping and analysis of leetcode-compensations page.
Python CLI Mad Libs Game My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and R
WithPartial Introduction WithPartial is a simple utility for functional piping in Python. The package exposes a context manager (used with with) calle
pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and
A utility for functional piping in Python that allows you to access any function in any scope as a partial.
PipeChain Motivation PipeChain is a utility library for creating functional pipelines. Let's start with a motivating example. We have a list of Austra
datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Evaluation of a Monocular Eye Tracking Set-Up As part of my master thesis, I implemented a new state-of-the-art model that is based on the work of Che
cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base
Stitch together Nanopore tiled amplicon data using a reference guided approach Tiled amplicon data, like those produced from primers designed with pri
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