Skip to main content
HomePythonCientista de aprendizado de máquina
career track

Cientista de aprendizado de máquina com Python

Domine as habilidades essenciais em Python para conseguir um emprego como cientista de aprendizado de máquina! Com este curso, você terá uma introdução abrangente ao aprendizado de máquina em Python. Você aumentará seu conjunto de habilidades de programação em Python com as ferramentas necessárias para realizar aprendizagem supervisionada, não supervisionada e profunda. Você aprenderá a processar dados para obter recursos, treinar seus modelos, avaliar o desempenho e ajustar os parâmetros para melhorar o desempenho. Esse curso também aborda tópicos como modelos de aprendizado de máquina baseados em árvore, análise de cluster, pré-processamento para aprendizado de máquina e muito mais. Ao terminar, você terá confiança para usar o Python para aprendizado de máquina, trabalhando com conjuntos de dados reais, classificadores lineares, gradient boosting e muito mais. No processo, você terá uma introdução ao processamento de linguagem natural, processamento de imagens e pacotes populares de aprendizado de máquina em Python, como scikit-learn, Spark e Keras.

PythonClock85 horasLearn21 coursesApply3 projectsTrophyDeclaração de Realização

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
GroupTraining 2 or more people?Try DataCamp For Business

Amado por alunos de milhares de empresas

1
Python
Aprendizagem supervisionada com o scikit-learn

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

2
Python
Predictive Modeling for Agriculture

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

2 hours

3
Python
Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours

Benjamin Wilson Headshot

Benjamin Wilson

Director of Research at lateral.io

4
Python
Clustering Antarctic Penguin Species

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

2 hours

5
Python
Linear Classifiers in Python

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours

Mike Gelbart Headshot

Mike Gelbart

Instructor, the University of British Columbia

6
Python
Machine Learning with Tree-Based Models in Python

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hours

Elie Kawerk Headshot

Elie Kawerk

Senior Data Scientist

7
Python
Predicting Movie Rental Durations

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

2 hours

Rohan Chatterjee Headshot

Rohan Chatterjee

Risk Modeler

8
Python
Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours

Sergey Fogelson Headshot

Sergey Fogelson

Head of Data Science, TelevisaUnivision

9
Python
Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours

Shaumik Daityari Headshot

Shaumik Daityari

Business Analyst at American Express

10
Python
Dimensionality Reduction in Python

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hours

Jeroen Boeye Headshot

Jeroen Boeye

Machine Learning Engineer @ Faktion

11
Python
Preprocessing for Machine Learning in Python

Learn how to clean and prepare your data for machine learning!

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

12
Python
Machine Learning for Time Series Data in Python

This course focuses on feature engineering and machine learning for time series data.

4 hours

Chris Holdgraf Headshot

Chris Holdgraf

Fellow at the Berkeley Institute for Data Science

13
Python
Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

4 hours

Robert O'Callaghan Headshot

Robert O'Callaghan

Director of Data Science, Ordergroove

14
Python
Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

4 hours

Kasey Jones Headshot

Kasey Jones

Research Data Scientist

15
Python
Hyperparameter Tuning in Python

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

4 hours

Alex Scriven Headshot

Alex Scriven

Senior Data Scientist @ Atlassian

16
Python
Machine Learning Fundamentals in Python
17
Python
Introduction to Natural Language Processing in Python

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hours

Katharine Jarmul Headshot

Katharine Jarmul

Founder, kjamistan

18
Python
Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

4 hours

Azadeh Mobasher Headshot

Azadeh Mobasher

Principal Data Scientist

19
Python
Feature Engineering for NLP in Python

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours

Rounak Banik Headshot

Rounak Banik

Data Scientist at Fractal Analytics

20
Python
Introduction to Deep Learning with PyTorch

Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters, and tackle classification and regression problems.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Scientist, YouView TV

21
Python
Intermediate Deep Learning with PyTorch

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

4 hours

Michał Oleszak Headshot

Michał Oleszak

Machine Learning Engineer

22
Python
Image Processing in Python

Learn to process, transform, and manipulate images at your will.

4 hours

Rebeca Gonzalez Headshot

Rebeca Gonzalez

Data Scientist, Hiberus Tecnologia

23
Python
Introdução ao PySpark

4 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

24
Python
Machine Learning with PySpark

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

4 hours

Andrew Collier Headshot

Andrew Collier

Data Scientist @ Exegetic Analytics

25
Python
Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours

Yauhen Babakhin Headshot

Yauhen Babakhin

Kaggle Grandmaster

Sparkles AI ASSISTANTUnlock Your Potential with Customized LearningNot sure where to start? Our AI assistant digs into your goals and interests to recommend the perfect courses. Start building skills that matter to you and your career.
Discover
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

  • George Boorman Headshot
    George BoormanCurriculum Manager, DataCampSee George Boorman's Portfolio
  • Mohammed Abufouda Headshot
    Mohammed AbufoudaSee Mohammed Abufouda's Portfolio
  • Benjamin Wilson Headshot
    Benjamin WilsonDirector of Research at lateral.ioSee Benjamin Wilson's Portfolio
  • Amir Parizi Headshot
    Amir PariziSee Amir Parizi's Portfolio

Cadastre-se mais 13,700,000 Alunos e comece Cientista de aprendizado de máquina com Python Hoje!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.