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Results for "advanced data preparation for machine learning models"
- Status: AI skills
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking
DeepLearning.AI
Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation
Skills you'll gain: Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Business Logic, Deep Learning, Machine Learning, Artificial Intelligence
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Regression Analysis, Random Forest Algorithm, Data Analysis
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Google Sheets, Data Entry, Data Manipulation, Information Privacy
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: 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
- Status: New
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, Keras (Neural Network Library), Deep Learning, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Artificial Intelligence, Data Import/Export, Exploratory Data Analysis, OpenAI, Scikit Learn (Machine Learning Library)
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Regression Analysis, Predictive Modeling, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning
- Status: AI skills
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking
In summary, here are 10 of our most popular advanced data preparation for machine learning models courses
- IBM Data Engineering: IBM
- AI For Everyone: DeepLearning.AI
- What is Data Science? : IBM
- Practical Machine Learning: Johns Hopkins University
- Machine Learning for All: University of London
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Excel Basics for Data Analysis: IBM
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- IBM AI Engineering: IBM
- IBM Generative AI Engineering: IBM