Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "machine learning algorithms (regression, classification)"
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Natural Language Processing
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
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Deep Learning, Mathematical Theory & Analysis, Python Programming, Derivatives
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, Classification And Regression Tree (CART), Machine Learning, Data Analysis, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Data Quality, Feature Engineering
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
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Predictive Modeling, Exploratory Data Analysis, Probability & Statistics, Statistical Inference
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
EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Investments, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Financial Management, Machine Learning, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Risk Analysis, Python Programming, Financial Modeling
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 Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Logic, Cryptography, Pseudocode, Design Strategies, Combinatorics, Computational Thinking, Programming Principles, Computer Science, Program Development, Encryption, Network Model, Linear Algebra, Analysis, Mathematical Modeling
In summary, here are 10 of our most popular machine learning algorithms (regression, classification) courses
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Scikit-Learn For Machine Learning Classification Problems:Â Coursera Project Network
- Mathematics for Machine Learning: Multivariate Calculus:Â Imperial College London
- Machine Learning With Big Data:Â University of California San Diego
- Linear Regression and Modeling :Â Duke University
- Regression Models:Â Johns Hopkins University
- Supervised Machine Learning: Regression:Â IBM
- Machine Learning and Reinforcement Learning in Finance:Â New York University
- Investment Management with Python and Machine Learning:Â EDHEC Business School