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.
Coursera
Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.
Coursera
Dive into the world of Machine Learning Algorithms with our Supervised Learning Tip to Tail course. This engaging program covers essential techniques like Decision Trees, K-Nearest Neighbors, Support Vector Machines, and provides practical applications through real-world case studies. Whether you're a data scientist or business analyst, this course will equip you with the skills needed to tackle complex machine learning projects effectively.
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
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
Discover the fundamentals of supervised machine learning models using SAS Viya in this engaging online course. Gain a strong grasp on theory, practical application, and the entire analytical life cycle—from problem understanding to model deployment. Perfect for data scientists, analysts, and professionals looking to enhance their skills in predictive analytics and solve complex business problems.
Coursera
Dive into the core concepts of Machine Learning with our expert-led course. Gain a deep understanding of key algorithms such as Naïve Bayes, Support Vector Machines, Decision Trees, and Clustering. Perfect for those comfortable with Python programming and basic mathematics including matrix operations and conditional probability.
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.