Projects with this topic
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Follow a CSV file to the number it reports: switch on one fault at a time, predict what a hand-written loop and a library default each report, and hold a claim against the rows.
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Materials on various sections in Computer Science (CS).
🎓 с с++ shell Bash makefile Git GitLab github SQL computer sci... PowerShell Mobile Devel... Android iOS devops game develop... Web Development JavaScript Java Python Docker HTML CSS TypeScript C++ Rust game Go C C# python3 nodejs golang Django Node.js MySQL Kotlin Windows PostgreSQL Flutter machine lear... js Ruby Qt Markdown R Swift cybersecurity Cyber Security bioinformatics deep learning big data NumPy pandas matplotlib scikit-learn scipy development softwareUpdated -
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A practical, linear-algebra-first introduction to data science.
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ETL pipeline project using Python, pandas and SQLite to import and structure CSV, Excel and HTML data files.
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Experimental implementations of mathematical functions focusing on HPC techniques
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Various examples of some data analysis exercises.
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Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn
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Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información
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Estimating the salary for a developer in each municipality and showing at https://gimse.gitlab.io/tech-salary-municipality
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Рабочий сервис генерации продолжения текста песни по короткой фразе на основе текстов песен группы Metallica
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Trabajas como científico/a de datos para Data Insider, un reconocido equipo de asesores financieros con presencia global, y te ha sido solicitado que elabores un informe detallado para entender de manera objetiva el comportamiento de grandes corporaciones a nivel mundial a partir del año 2015.
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This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.
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A Jupyter notebook for analysis of corona cases
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A short introduction to some of the most known libraries in Python3 and R for data science. Here I intend to cover topics such as data manipulation, data cleaning, machine learning and databases in each language.
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