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

We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.

Salary-Prediction-with-Machine-Learning 1. Business Problem Can a machine learning project be implemented to estimate the salaries of baseball players

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A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

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CobraML: Completely Customizable A python ML library designed to give the end user full control

CobraML: Completely Customizable What is it? CobraML is a python library built on both numpy and numba. Unlike other ML libraries CobraML gives the us

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GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a

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Xeasy-ml is a packaged machine learning framework.

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A python library for easy manipulation and forecasting of time series.

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Distributed scikit-learn meta-estimators in PySpark

sk-dist: Distributed scikit-learn meta-estimators in PySpark What is it? sk-dist is a Python package for machine learning built on top of scikit-learn

282 Dec 09, 2022

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Diabetes This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type

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Automated Time Series Forecasting

AutoTS AutoTS is a time series package for Python designed for rapidly deploying high-accuracy forecasts at scale. There are dozens of forecasting mod

652 Jan 03, 2023

BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.

Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi

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Warren - Stock Price Predictor

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

153 Jan 03, 2023

A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

Author Ibrahim Koné From-Machine-Learning-Models-To-WebAPI A collection of Machine Learning Models To Web Api which are built on open source technolog

2 May 24, 2022

Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

CobraML: Completely Customizable A python ML library designed to give the end user full control

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

Xeasy-ml is a packaged machine learning framework.

A python library for easy manipulation and forecasting of time series.

Distributed scikit-learn meta-estimators in PySpark

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Automated Time Series Forecasting

BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.

Warren - Stock Price Predictor

A collection of Machine Learning Models To Web Api which are built on open source technologies/frameworks like Django, Flask.

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