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Results for "advanced data preparation for machine learning models"
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
Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, IBM DB2, Extract, Transform, Load, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming
University of California, Irvine
Skills you'll gain: Time Management, Quick Learning, Active Listening, Literacy, Public Speaking, Learning Strategies, Verbal Communication Skills, Grammar, Concision, Composure, Detail Oriented, Stress Management, Persistence, Mental Concentration, Vocabulary, Adaptability
- 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: AI skills
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Skills you'll gain: Data Ethics, Data Analysis, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Integrity, Data Management, Data Collection, Data Manipulation, Relational Databases, SQL, Metadata Management, Unstructured Data
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning, Text Mining, Machine Learning
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Statistical Methods, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra, Probability Distribution
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Big Data, Data Analysis, Linear Algebra
In summary, here are 10 of our most popular advanced data preparation for machine learning models courses
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Data Engineering Foundations: IBM
- IELTS Preparation: University of California, Irvine
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- IBM Data Analyst: IBM
- Applied Machine Learning: Johns Hopkins University
- Prepare Data for Exploration: Google
- Sequence Models: DeepLearning.AI
- Data Science Fundamentals with Python and SQL: IBM
- Probabilistic Graphical Models: Stanford University