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Results for "classification of ml"
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Real Time Data, Probability & Statistics, Algorithms
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Data Validation, Predictive Modeling
University of Colorado Boulder
Skills you'll gain: Data Analysis, Applied Machine Learning, Supervised Learning, Exploratory Data Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Predictive Modeling, Feature Engineering, Machine Learning
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
Edureka
Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Supervised Learning, Artificial Neural Networks, Reinforcement Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
Coursera Project Network
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Data Cleansing
Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Machine Learning Algorithms, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Data Science, Keras (Neural Network Library), Machine Learning, Predictive Modeling, Data Mining, Artificial Neural Networks, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics
In summary, here are 10 of our most popular classification of ml courses
- Machine Learning: Classification: University of Washington
- IBM Introduction to Machine Learning: IBM
- Classification Analysis: University of Colorado Boulder
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- Supervised Machine Learning: Regression and Classification : DeepLearning.AI
- Machine Learning and NLP Basics: Edureka
- Supervised Machine Learning: Classification: IBM
- Machine Learning Foundations: A Case Study Approach: University of Washington
- MLOps | Machine Learning Operations: Duke University
- AWS AutoGluon for Machine Learning Classification: Coursera Project Network