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 impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev

MLProject_01 This project impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev Context Dataset English question data set file F

1 Dec 18, 2021

BASTA: The BAyesian STellar Algorithm

BASTA: BAyesian STellar Algorithm Current stable version: v1.0 Important note: BASTA is developed for Python 3.8, but Python 3.7 should work as well.

16 Nov 15, 2022

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks

STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim

2.5k Jan 06, 2023

A Python library for choreographing your machine learning research.

270 Jan 06, 2023

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

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

End to End toy example of MLOps

churn_model MLOps Toy Example End to End You might find below links useful Connect VSCode to Git MLFlow Port Heroku App Project Organization ├── LICEN

6 Feb 06, 2022

Summer: compartmental disease modelling in Python

Summer: compartmental disease modelling in Python Summer is a Python-based framework for the creation and execution of compartmental (or "state-based"

6 May 13, 2022

This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform.

Zillow-Houses This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform. Pipeline is consists of 10

2 Jan 09, 2022

CyLP is a Python interface to COIN-OR’s Linear and mixed-integer program solvers (CLP, CBC, and CGL)

CyLP CyLP is a Python interface to COIN-OR’s Linear and mixed-integer program solvers (CLP, CBC, and CGL). CyLP’s unique feature is that you can use i

161 Dec 14, 2022

Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning

Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My

3 Apr 10, 2022

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

314 Dec 25, 2022

Data from "Datamodels: Predicting Predictions with Training Data"

Data from "Datamodels: Predicting Predictions with Training Data" Here we provid

51 Dec 09, 2022

Predict the income for each percentile of the population (Python) - FRENCH

05.income-prediction Predict the income for each percentile of the population (Python) - FRENCH Effectuez une prédiction de revenus Prérequis Pour ce

1 Feb 13, 2022

pandas, scikit-learn, xgboost and seaborn integration

pandas, scikit-learn and xgboost integration.

299 Dec 30, 2022

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy m

55 Dec 27, 2022

Machine Learning e Data Science com Python

Related tags

Overview

Machine Learning e Data Science com Python

Owner

Renan Barbosa

This project impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev

BASTA: The BAyesian STellar Algorithm

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks

A Python library for choreographing your machine learning research.

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

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

End to End toy example of MLOps

Summer: compartmental disease modelling in Python

This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform.

CyLP is a Python interface to COIN-OR’s Linear and mixed-integer program solvers (CLP, CBC, and CGL)

Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning

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

Data from "Datamodels: Predicting Predictions with Training Data"

Predict the income for each percentile of the population (Python) - FRENCH

pandas, scikit-learn, xgboost and seaborn integration

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

Nixtla is an open-source time series forecasting library.

Machine Learning e Data Science com Python

MLR - Machine Learning Research

Python Automated Machine Learning library for tabular data.