IvanildoBatista/Data-science
Projetos de análise de dados em Python de aprendizado supervisionado (regressão e classificação) e não supervisionado (clusterização), regras de associação, processamento de linguagem natural, redes neurais (classificação e regressão) e etc.
This collection of projects helps practitioners understand complex datasets by applying various machine learning and deep learning techniques. It takes raw data, such as customer demographics, financial indicators, or sensor readings, and produces predictive models, classifications, or groupings. Business analysts, financial traders, marketing strategists, and medical researchers can leverage these techniques to gain actionable insights.
No commits in the last 6 months.
Use this if you need to build predictive models for classification or regression, group similar items (like stocks or wines), or discover purchasing patterns in your data.
Not ideal if you are looking for ready-to-use, deployable applications rather than project examples that demonstrate various data science methodologies.
Stars
7
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2
Language
Jupyter Notebook
License
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Category
Last pushed
Aug 04, 2021
Commits (30d)
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