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Results for "data preparation for machine learning"
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Jupyter, Pandas (Python Package), Artificial Intelligence
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
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
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
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
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)
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
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
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
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
- Status: AI skills
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
In summary, here are 10 of our most popular data preparation for machine learning courses
- Exploratory Data Analysis for Machine Learning: IBM
- Applied Machine Learning in Python: University of Michigan
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Machine Learning: DeepLearning.AI
- IBM Machine Learning: IBM
- Deep Learning: DeepLearning.AI
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- IBM Introduction to Machine Learning: IBM
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI