Coursera
Embark on a journey into the world of applying machine learning techniques to solve complex scientific challenges. This course will guide you through every step of the machine learning pipeline, from data cleaning and transformation to running advanced algorithms. Perfect for scientists, researchers, and anyone interested in leveraging AI for problem-solving.
Coursera
Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.
Coursera
Embark on a journey into the world of supervised machine learning with this foundational online course. Designed for beginners and advanced learners alike, you'll delve into essential algorithms like linear and logistic regression, K-nearest neighbors (KNN), decision trees, random forest, boosting techniques, and kernel methods such as support vector machines (SVM). This course is perfect for those looking to harness the predictive power of data.
Coursera
Bem-vindo ao Curso Engajamento, Conversão e o Consumidor! Este curso é projetado para ensinar você a analisar os comportamentos do consumidor, aumentando seu engajamento e conversão. Aprenda sobre análise de dados, monitoramento de clientes e otimização de estratégias de marketing.
Coursera
Discover the power of Machine Learning with our in-depth course designed for beginners and professionals alike. Gain a strong foundation in ML concepts, learn to implement models using Python libraries, and explore real-world applications.
Coursera
Expand your knowledge in machine learning by diving into 'Advanced Learning Algorithms'. This course will guide you through building and training complex neural networks using TensorFlow for effective multi-class classification tasks. You'll also learn best practices for developing machine learning models that generalize well to real-world data and scenarios, as well as explore decision trees and ensemble methods like random forests and boosted trees.
Coursera
Dive into 'The Nuts and Bolts of Machine Learning' – a crucial part of Google's Advanced Data Analytics Certificate. This course will equip you with the skills needed to analyze large datasets, solve intricate issues, and make precise forecasts using advanced algorithms and statistical analysis.
Coursera
Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.
Coursera
Dive into the world of Applied Machine Learning with this hands-on Python course. Learn how to implement machine learning algorithms effectively, understand their practical applications, and harness the power of scikit-learn toolkit for real-world problem-solving.