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 Python package for time series classification

pyts: a Python package for time series classification pyts is a Python package for time series classification. It aims to make time series classificat

1.4k Jan 01, 2023

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

Hackerank-Nested-List Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any s

2 Dec 14, 2021

Automatically create Faiss knn indices with the most optimal similarity search parameters.

It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.

419 Jan 01, 2023

Provide an input CSV and a target field to predict, generate a model + code to run it.

automl-gs Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learn

1.8k Jan 04, 2023

moDel Agnostic Language for Exploration and eXplanation

moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.

1.2k Jan 04, 2023

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

TensorFrames (Deprecated) Note: TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala and Apache Spark

757 Dec 31, 2022

healthy and lesion models for learning based on the joint estimation of stochasticity and volatility

health-lesion-stovol healthy and lesion models for learning based on the joint estimation of stochasticity and volatility Reference please cite this p

5 Nov 01, 2022

Solve automatic numerical differentiation problems in one or more variables.

numdifftools The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more vari

181 Dec 16, 2022

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl

90 Oct 28, 2022

Simple linear model implementations from scratch.

Hand Crafted Models Simple linear model implementations from scratch. Table of contents Overview Project Structure Getting started Citing this project

2 Sep 13, 2021

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression

1 Nov 22, 2021

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

FLAML - Fast and Lightweight AutoML

2.2k Jan 09, 2023

Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

A Python package for time series classification

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

Automatically create Faiss knn indices with the most optimal similarity search parameters.

Provide an input CSV and a target field to predict, generate a model + code to run it.

moDel Agnostic Language for Exploration and eXplanation

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

healthy and lesion models for learning based on the joint estimation of stochasticity and volatility

Solve automatic numerical differentiation problems in one or more variables.

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Simple linear model implementations from scratch.

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

a distributed deep learning platform

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

fMRIprep Pipeline To Machine Learning

SynapseML - an open source library to simplify the creation of scalable machine learning pipelines

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

Timeseries analysis for neuroscience data

A simple application that calculates the probability distribution of a normal distribution

Kalman filter library