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Results for "machine learning algorithms (regression, classification)"
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra, Probability Distribution
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning
Duke University
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling
University of California San Diego
Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Feature Engineering, Data Processing, Pandas (Python Package), Data Manipulation, Performance Metric
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Finance
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Software Development Life Cycle, Machine Learning, Data Cleansing, Technology Solutions, Data Collection, Data Science, Systems Architecture, System Design and Implementation, Continuous Monitoring, Software Versioning
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, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric
University of Colorado Boulder
Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computational Thinking, Pseudocode, Cryptography, Computer Science, Programming Principles, Encryption, Network Model, Linear Algebra, Combinatorics, Data Science, Advanced Mathematics, Mathematical Modeling, Design Strategies, Computer Programming
In summary, here are 10 of our most popular machine learning algorithms (regression, classification) courses
- Reinforcement Learning:Â University of Alberta
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Scikit-Learn For Machine Learning Classification Problems:Â Coursera Project Network
- Linear Regression and Modeling :Â Duke University
- Machine Learning With Big Data:Â University of California San Diego
- Regression Models:Â Johns Hopkins University
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI
- Supervised Machine Learning: Regression:Â IBM
- Machine Learning and Reinforcement Learning in Finance:Â New York University
- Managing Machine Learning Projects:Â Duke University