Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina.

Last update: Jan 10, 2022

Overview

Estatistica para Ciência de Dados e Machine Learning

Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina. Onde armazenarei todos os códigos e testes que fiz durante esse curso.

Espero que com ele eu crie uma base sólida nesse assunto para que eu possa aprofundar cada vez mais. 😋

link do curso aqui

Pelo que vi do curso e do que eu tenho aplicado, eu estou bem contente em entender os tipos de amostragens e como eles são implementados no Python. O curso do Guanabara me deu uma base sólida e que facilita bastante o meu aprendizado. 😁

Quando envolve um código no Python, eu busco entender como funciona cada parte. No meio disso vi que te uma forma melhor do que a de criar um novo arquivo e ir testando. Agora que descobri sobre a anaconda e o debug, irei utilizá-los para entender códigos grandes. E fiquei na cabeça de usar esse "sistema" na parte de machine learning. Será que vai ser útil lá? Veremos. 🤨

Owner

Renan Barbosa

Um programador iniciante de Python estudando Data Science!

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Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina.

Related tags

Overview

Estatistica para Ciência de Dados e Machine Learning

Owner

Renan Barbosa

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

🤖 ⚡ scikit-learn tips

My capstone project for Udacity's Machine Learning Nanodegree

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions

Uses WiFi signals :signal_strength: and machine learning to predict where you are

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Cohort Intelligence used to solve various mathematical functions

Getting Profit and Loss Make Easy From Binance

Open source time series library for Python

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

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SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.

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决策树分类与回归模型的实现和可视化

Implementation of K-Nearest Neighbors Algorithm Using PySpark

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina.

Related tags

Overview

Estatistica para Ciência de Dados e Machine Learning

Owner

Renan Barbosa

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

🤖 ⚡ scikit-learn tips

My capstone project for Udacity's Machine Learning Nanodegree

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions

Uses WiFi signals :signal_strength: and machine learning to predict where you are

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Cohort Intelligence used to solve various mathematical functions

Getting Profit and Loss Make Easy From Binance

Open source time series library for Python

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

YouTube Spam Detection with python

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.

PyTorch extensions for high performance and large scale training.

﻿Greykite: A flexible, intuitive and fast forecasting library

决策树分类与回归模型的实现和可视化

Implementation of K-Nearest Neighbors Algorithm Using PySpark

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Greykite: A flexible, intuitive and fast forecasting library