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

DistML is a Ray extension library to support large-scale distributed ML training on heterogeneous multi-node multi-GPU clusters

27 Aug 19, 2022

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Highly interpretable, sklearn-compatible classifier based on decision rules This is a scikit-learn compatible wrapper for the Bayesian Rule List class

482 Nov 19, 2022

Bayesian optimization in JAX

26 May 11, 2022

YouTube Spam Detection with python

YouTube Spam Detection This code deletes spam comment on youtube videos based on two characteristics (currently) If the author of the comment has a se

5 Sep 27, 2022

Accelerating model creation and evaluation.

EmeraldML A machine learning library for streamlining the process of (1) cleaning and splitting data, (2) training, optimizing, and testing various mo

0 Dec 06, 2021

🔬 A curated list of awesome machine learning strategies & tools in financial market.

1.6k Dec 30, 2022

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow scikit-learn's functionality wit

33 Dec 27, 2022

Stacked Generalization (Ensemble Learning)

Stacking (stacked generalization) Overview ikki407/stacking - Simple and useful stacking library, written in Python. User can use models of scikit-lea

192 Dec 23, 2022

Deploy AutoML as a service using Flask

AutoML Service Deploy automated machine learning (AutoML) as a service using Flask, for both pipeline training and pipeline serving. The framework imp

221 Nov 04, 2022

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

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

6 Jun 30, 2022

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

23.3k Dec 31, 2022

Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen.

SmartMeterEVN Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen. Smart Meter werden

43 Dec 04, 2022

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a

1 Jun 27, 2022

Coursera Machine Learning - Python code

Coursera Machine Learning This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignmen

859 Dec 10, 2022

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,

2 Nov 18, 2021

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

2 Jan 18, 2022

Distributed Evolutionary Algorithms in Python

DEAP DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data stru

4.9k Jan 05, 2023

Distributed deep learning on Hadoop and Spark clusters.

Note: we're lovingly marking this project as Archived since we're no longer supporting it. You are welcome to read the code and fork your own version

1.3k Dec 28, 2022

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

1 Jan 11, 2022

Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

DistML is a Ray extension library to support large-scale distributed ML training on heterogeneous multi-node multi-GPU clusters

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Bayesian optimization in JAX

YouTube Spam Detection with python

Accelerating model creation and evaluation.

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

Stacked Generalization (Ensemble Learning)

Deploy AutoML as a service using Flask

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

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen.

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Coursera Machine Learning - Python code

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Distributed Evolutionary Algorithms in Python

Distributed deep learning on Hadoop and Spark clusters.

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.