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Results for "naive bayes classification algorithm"
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Dimensionality Reduction, Applied Machine Learning, Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning, Data Access, Anomaly Detection, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Predictive Modeling
University of Pennsylvania
Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Analytical Skills, Computer Science, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Computer Architecture, Debugging
Stanford University
Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Deep Learning, Predictive Modeling, Health Care Procedure and Regulation, Data Processing, Image Analysis, Natural Language Processing
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability, Probability Distribution, Algorithms
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
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
University of Illinois Urbana-Champaign
Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Supervised Learning
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
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Predictive Modeling, Data Processing, Data Analysis, Statistics, Applied Machine Learning, Supervised Learning, Feature Engineering, Data Visualization Software, Automation
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
In summary, here are 10 of our most popular naive bayes classification algorithm courses
- Mathematics for Machine Learning: PCA:Â Imperial College London
- IBM Introduction to Machine Learning:Â IBM
- Computational Thinking for Problem Solving:Â University of Pennsylvania
- Fundamentals of Machine Learning for Healthcare:Â Stanford University
- Bayesian Statistics: Techniques and Models:Â University of California, Santa Cruz
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London
- Machine Learning Foundations: A Case Study Approach:Â University of Washington
- Machine Learning Algorithms with R in Business Analytics:Â University of Illinois Urbana-Champaign
- Machine Learning: Classification:Â University of Washington
- Bayesian Statistics:Â Duke University