PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

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Data Analysisibda2022
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Researcher, member of Data Analytics and Visualization Team at Barcelona Supercomputing Center, the national supercomputing centre in Spain
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

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First steps with Python in Life Sciences

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CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow

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Python library for creating data pipelines with chain functional programming

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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

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Automated Exploration Data Analysis on a financial dataset

Automated EDA on financial dataset Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.

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PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

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Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little

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Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

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CS50 pset9: Using flask API to create a web application to exchange stocks' shares.

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

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Efficient matrix representations for working with tabular data

Efficient matrix representations for working with tabular data

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This is a repo documenting the best practices in PySpark.

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Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

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MS in Data Science capstone project. Studying attacks on autonomous vehicles.

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Gaussian processes in TensorFlow

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Pipeline and Dataset helpers for complex algorithm evaluation.

tpcp - Tiny Pipelines for Complex Problems A generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them pip inst

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Anomaly Detection with R

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