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

This project has Classification and Clustering done Via kNN and K-Means respectfully

This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. T

0 Jan 20, 2022

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.

720 Dec 25, 2022

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

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Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

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2 Apr 18, 2022

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr

1 Nov 01, 2021

Python/Sage Tool for deriving Scattering Matrices for WDF R-Adaptors

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8 Sep 19, 2022

A collection of Scikit-Learn compatible time series transformers and tools.

tsfeast A collection of Scikit-Learn compatible time series transformers and tools. Installation Create a virtual environment and install: From PyPi p

0 Mar 30, 2022

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

84 Nov 25, 2022

Machine-Learning with python (jupyter)

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1 Jan 23, 2022

LibTraffic is a unified, flexible and comprehensive traffic prediction library based on PyTorch

LibTraffic is a unified, flexible and comprehensive traffic prediction library, which provides researchers with a credibly experimental tool and a convenient development framework. Our library is imp

432 Jan 05, 2023

A game theoretic approach to explain the output of any machine learning model.

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo

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A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

1.3k Dec 22, 2022

Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

This project has Classification and Clustering done Via kNN and K-Means respectfully

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

Python/Sage Tool for deriving Scattering Matrices for WDF R-Adaptors

A collection of Scikit-Learn compatible time series transformers and tools.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Machine-Learning with python (jupyter)

LibTraffic is a unified, flexible and comprehensive traffic prediction library based on PyTorch

A game theoretic approach to explain the output of any machine learning model.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Open source time series library for Python

Classification based on Fuzzy Logic(C-Means).

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning

Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

distfit - Probability density fitting

Decision Tree Regression algorithm implemented on Python from scratch.