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Results for "scikit learn (machine learning library)"
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling, Python Programming
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
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Data Analysis, Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning, Statistical Analysis, Data Access, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Systems Design, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Application Deployment, Cloud Management, DevOps, Systems Architecture
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
In summary, here are 10 of our most popular scikit learn (machine learning library) courses
- Machine Learning: DeepLearning.AI
- Introduction to Machine Learning: Duke University
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- Deep Learning: DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Machine Learning with Python: IBM
- Mathematics for Machine Learning: Imperial College London
- IBM Introduction to Machine Learning: IBM
- IBM Machine Learning: IBM
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud