Machine Learning e Data Science com Python

Last update: Jan 27, 2022

Overview

Machine Learning e Data Science com Python

Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo.

O principal do arquivo do curso é o "MachineL_DataScience.ipynb" e pode ser acessado clicando aqui. Nele contém todo o passo a passo que estou realizando para importar duas bases de dados, realizar a limpeza e tratamento dos dados e posteriormente o treinamento, previsões e resultados de vários algoritmos. Bem como o seu aperfeiçoamento para melhores resultados.

No momento estou com 20% do curso concluído e ainda me falta um grande caminho pela frente. Estou adorando e cada vez mais fascinado por isso. 😍

Owner

Renan Barbosa

Um desenvolvedor iniciante Python estudando Data Science!

GitHub Repository

A high-performance topological machine learning toolbox in Python

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Conducted ANOVA and Logistic regression analysis using matplot library to visualize the result.

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Fourier-Bayesian estimation of stochastic volatility models

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This is my implementation on the K-nearest neighbors algorithm from scratch using Python

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My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

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A single Python file with some tools for visualizing machine learning in the terminal.

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Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared

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Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

A high-performance topological machine learning toolbox in Python

Model factory is a ML training platform to help engineers to build ML models at scale

Conducted ANOVA and Logistic regression analysis using matplot library to visualize the result.

Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.

Fourier-Bayesian estimation of stochastic volatility models

This is my implementation on the K-nearest neighbors algorithm from scratch using Python

My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

Nevergrad - A gradient-free optimization platform

Binary Classification Problem with Machine Learning

A single Python file with some tools for visualizing machine learning in the terminal.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices

Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Dive into Machine Learning

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

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Data Version Control or DVC is an open-source tool for data science and machine learning projects