241 Machine Learning Courses
Rust Programming offers a comprehensive specialization from Duke University, equipping professionals with skills for robust systems programming and advanced machine...
Learn about sample-based learning methods in reinforcement learning, including Monte Carlo and temporal difference learning, and how to combine model-based planning...
Learn to save, load, and export models with Keras in this 1-hour project-based course. Master the process of saving model checkpoints during training.
Learn to scale data science and machine learning tasks on Big Data sets using Apache Spark, gaining practical skills to process extremely large data sets efficiently....
This hands-on project delves into Scikit-Learn for machine learning classification problems, teaching you to build, train, and evaluate classifier models efficiently....
Learn to build and train regression models using Scikit-Learn library, understand XG-Boost regression model theory, and evaluate model performance using various...
In this practical project, you will learn to train models using Pycaret in Python to predict time series data, including advanced ensemble techniques.
Simple Linear Regression for the Absolute Beginner is a practical, hands-on guided project to understand, build, and apply simple linear regression models using...
Learn the K-Nearest Neighbors algorithm for classification and regression through hands-on Python implementation in this 2-hour project-based course.
Solve Business Problems with AI and Machine Learning equips learners with essential skills to apply AI and ML to real-world business challenges, select appropriate...
Spark, Hadoop, and Snowflake for Data Engineering is a comprehensive course designed to equip learners with the skills and knowledge to build efficient and scalable...
Learn the definition of CSS, how to add CSS to HTML documents, and various CSS properties in this hour-long project-based course.
Supervised Machine Learning: Classification equips aspiring data scientists with hands-on experience in classifying categorical outcomes. Gain expertise in logistic...
Supervised Machine Learning: Regression equips aspiring data scientists with hands-on experience in training regression models to predict continuous outcomes and...
Learn how to implement a Support Vector Machine algorithm for classification in Python, building your own SVM model with amazing visualization.
Explore Support Vector Machines with scikit-learn and Python in this hands-on project on Rhyme, mastering the theory, building models, and creating a facial recognition...
This Specialization equips machine learning practitioners with practical TensorFlow 2 skills, including customizing deep learning models and incorporating probabilistic...
TensorFlow 2 시작하기 과정은 딥 러닝 모델의 개발을 위한 완벽한 엔드-투-엔드 워크플로우를 배우며, Capstone 프로젝트를 통해...