Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+methods"
- Status: Free
Maven Analytics
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Random Forest Algorithm
Johns Hopkins University
Skills you'll gain: Research Design, Research Methodologies, Research, Statistical Analysis, Data Collection, Data Analysis Software, Psychology, Image Analysis, Systems Of Measurement, Data Visualization Software, Statistical Hypothesis Testing, Anatomy
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Network, Machine Learning
Johns Hopkins University
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Exploratory Data Analysis
- Status: Free
Coursera Project Network
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Predictive Modeling, R Programming, Data Cleansing, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning
Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Computer Vision, Machine Learning, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
University of Colorado Boulder
Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Data-Driven Decision-Making, Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods, Feature Engineering
Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Data Analysis, Programming Principles, Jupyter, Rmarkdown, Git (Version Control System), Integrated Development Environments
Johns Hopkins University
Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing, Time Series Analysis and Forecasting
Northeastern University
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving, Spreadsheet Software
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, R Programming, Simulations
- Status: Free
New York University
Skills you'll gain: Resource Management, Clinical Trials, Process Improvement and Optimization, Experimentation, Sample Size Determination, Research Design, Program Evaluation, Science and Research, Research Methodologies, Statistical Analysis
In summary, here are 10 of our most popular regularization+methods courses
- Complete Visual Guide to Machine Learning: Maven Analytics
- Neuroscience Methods: Johns Hopkins University
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Tidymodels in R: Building tidy machine learning models: Coursera Project Network
- Advanced Machine Learning and Deep Learning: Packt
- Data Analysis with Python Project : University of Colorado Boulder
- Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
- Advanced Neural Network Techniques: Johns Hopkins University
- Industrial Optimization: Models & Linear Programming: Northeastern University