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Results for "advanced data preparation for machine learning models"
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Calculus
Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Management, Data Integration, Data Visualization Software
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL
- Status: Free
Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Analysis, Regression Analysis, Data Analysis, Classification And Regression Tree (CART), Applied Mathematics, Linear Algebra, Probability
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Image Analysis, Applied Machine Learning, Computer Vision, Text Mining, Machine Learning, Serverless Computing, Virtual Environment, Data Processing
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Software Development Life Cycle, Machine Learning, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning
- Status: New
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting
- Status: Free
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
In summary, here are 10 of our most popular advanced data preparation for machine learning models courses
- Neural Networks and Deep Learning: DeepLearning.AI
- IBM AI Engineering: IBM
- Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
- Tools for Data Science: IBM
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Foundations: Data, Data, Everywhere: Google
- Machine Learning Basics: Sungkyunkwan University
- Generative AI and LLMs: Architecture and Data Preparation: IBM
- Introduction to Machine Learning on AWS: Amazon Web Services
- Generative AI with Large Language Models: DeepLearning.AI