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The language used throughout the course, in both instruction and assessments.
250 results for "statistical classification"
University of Illinois at Urbana-Champaign
Skills you'll gain: Algorithms, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Business Analysis, Data Model, Exploratory Data Analysis, Regression, R Programming
Skills you'll gain: Machine Learning, Natural Language Processing, Artificial Neural Networks, Data Science, Python Programming
Skills you'll gain: Python Programming, Data Science, Machine Learning, Regression
Coursera Project Network
Skills you'll gain: Machine Learning
Coursera Project Network
Skills you'll gain: Machine Learning, Data Analysis, Data Science, Python Programming
Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Python Programming, Machine Learning, Data Science, Linear Algebra
Coursera Project Network
Skills you'll gain: Machine Learning, Python Programming, Data Science
Coursera Project Network
Skills you'll gain: Machine Learning, Python Programming, Regression, Data Science
Coursera Project Network
Wesleyan University
Skills you'll gain: Human Learning, Machine Learning
SAS
Skills you'll gain: Human Learning, Machine Learning, Applied Machine Learning, Data Analysis, Machine Learning Algorithms, Data Science
Whizlabs
Skills you'll gain: Data Model, Machine Learning
In summary, here are 10 of our most popular statistical classification courses
- Machine Learning Algorithms with R in Business Analytics: University of Illinois at Urbana-Champaign
- AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
- Introduction to Data Science and scikit-learn in Python: LearnQuest
- Predict Employee Turnover with scikit-learn: Coursera Project Network
- Support Vector Machines with scikit-learn: Coursera Project Network
- CUDA Advanced Libraries: Johns Hopkins University
- Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
- Logistic Regression with NumPy and Python: Coursera Project Network
- Interpretable Machine Learning Applications: Part 1: Coursera Project Network
- Machine Learning for Data Analysis: Wesleyan University