Filter by
The language used throughout the course, in both instruction and assessments.
Results for "model+regularization"
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
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, Predictive Modeling
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
Coursera Project Network
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Computer Vision
Coursera Project Network
Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning, Google Cloud Platform
DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Visualization (Computer Graphics), Machine Learning
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Artificial Neural Networks, Deep Learning, Applied Machine 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
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
DeepLearning.AI
Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Unsupervised Learning, Computer Vision
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
Macquarie University
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Statistical Modeling, Trend Analysis, Business Planning, Statistical Analysis, Data Visualization Software
Searches related to model+regularization
In summary, here are 10 of our most popular model+regularization courses
- Supervised Machine Learning: Classification: IBM
- Linear Regression and Modeling : Duke University
- Create Machine Learning Models in Microsoft Azure: Microsoft
- Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera Project Network
- Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
- Advanced Computer Vision with TensorFlow: DeepLearning.AI
- Generative AI Language Modeling with Transformers: IBM
- Regression Models: Johns Hopkins University
- Machine Learning: Regression: University of Washington
- Generative Deep Learning with TensorFlow: DeepLearning.AI