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Cursos & Projetos

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Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

curso

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

curso

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

curso

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

curso

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

curso

Introduction to RNNs

Introduction to RNNs

Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.

projeto

Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

curso

Computer Vision Essentials

Computer Vision Essentials

Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.

projeto

Detecting Credit Card Fraud with Machine Learning

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

projeto

Detecting Fake Job Postings with Machine Learning

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

projeto

Exploring Heart Disease Patterns in Clinical Data

Exploring Heart Disease Patterns in Clinical Data

Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.

curso

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

projeto

Predicting Potable Water Quality

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

projeto

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

curso

PyTorch Essentials

PyTorch Essentials

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.
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Trilhas de Carreira

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Web Development with C#

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Python from Zero to Hero

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SQL from Zero to Hero

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Game Development with Unity

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Become a React Developer

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Frontend Development Foundations

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Mastering Data Visualization

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Machine Learning Mastery

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C++ Mastery

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Java Web

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Become a QA Engineer

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Video Production with Adobe

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UI/UX Design Tools

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Essential Office Skills

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Digital Marketing Essentials

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Complete Social Media Management

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Business AI Toolkit

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No-Code Website Development

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Deep Learning Odyssey

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Web Development with C#

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4.7
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Python from Zero to Hero

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4.6
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SQL from Zero to Hero

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4.7
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С++ Essentials

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Game Development with Unity

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Become a React Developer

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Excel Essentials

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Java Essentials

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Full Stack Web Development

laptop7 Cursos
list343 Tarefas
4.6
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For Ultimate

Somente para Ultimate

Frontend Development Foundations

laptop6 Cursos
list306 Tarefas
4.6
trilha
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For Ultimate

Somente para Ultimate

Mastering Data Visualization

laptop5 Cursos
list145 Tarefas
4.6
trilha
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For Ultimate

Somente para Ultimate

Machine Learning Mastery

laptop6 Cursos
list177 Tarefas
4.4
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C++ Mastery

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4.3
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For Ultimate

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Java Web

laptop7 Cursos
list278 Tarefas
4.7
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For Ultimate

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Become a QA Engineer

laptop5 Cursos
list237 Tarefas
4.6
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For Ultimate

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Video Production with Adobe

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list125 Tarefas
5.0
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For Ultimate

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UI/UX Design Tools

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4.7
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For Ultimate

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Essential Office Skills

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4.7
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For Ultimate

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Digital Marketing Essentials

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4.4
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For Ultimate

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Complete Social Media Management

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Business AI Toolkit

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4.6
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No-Code Website Development

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4.3
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Deep Learning Odyssey

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Cursos & Projetos

Tecnologias

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curso

Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

curso

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

curso

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

curso

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

curso

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

curso

Introduction to RNNs

Introduction to RNNs

Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.

projeto

Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

curso

Computer Vision Essentials

Computer Vision Essentials

Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.

projeto

Detecting Credit Card Fraud with Machine Learning

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

projeto

Detecting Fake Job Postings with Machine Learning

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

projeto

Exploring Heart Disease Patterns in Clinical Data

Exploring Heart Disease Patterns in Clinical Data

Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.

curso

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

projeto

Predicting Potable Water Quality

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

projeto

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

curso

PyTorch Essentials

PyTorch Essentials

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.

curso

Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

curso

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

curso

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

curso

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

curso

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

curso

Introduction to RNNs

Introduction to RNNs

Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.

projeto

Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

curso

Computer Vision Essentials

Computer Vision Essentials

Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.

projeto

Detecting Credit Card Fraud with Machine Learning

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

projeto

Detecting Fake Job Postings with Machine Learning

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

projeto

Exploring Heart Disease Patterns in Clinical Data

Exploring Heart Disease Patterns in Clinical Data

Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.

curso

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

projeto

Predicting Potable Water Quality

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

projeto

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

curso

PyTorch Essentials

PyTorch Essentials

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.
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