Filter by
The language used throughout the course, in both instruction and assessments.
Results for "data+preparation+for+machine+learning"
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Information Privacy, Tensorflow, Performance Tuning
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Statistical Machine Learning, Machine Learning Methods, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Statistical Methods, Regression Analysis, Algorithms, Artificial Intelligence
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
Coursera Project Network
Skills you'll gain: Data Import/Export, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Visualization, Data Analysis, Machine Learning
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Classification And Regression Tree (CART), Predictive Modeling, Unsupervised Learning, Program Evaluation, Reinforcement Learning
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
In summary, here are 10 of our most popular data+preparation+for+machine+learning courses
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Build and Operate Machine Learning Solutions with Azure: Microsoft
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Create Machine Learning Models in Microsoft Azure: Microsoft
- Foundations of AI and Machine Learning: Microsoft
- Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
- 機器å¸ç¿’基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- Build your first Machine Learning Pipeline using Dataiku : Coursera Project Network
- Machine Learning Introduction for Everyone: IBM