Create machine learning models
- Offered byMicrosoft
Create machine learning models at Microsoft Overview
Duration | 5 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Create machine learning models at Microsoft Course details
- Explore and analyze data with Python
- Train and evaluate regression models
- Train and evaluate classification models
- Train and evaluate clustering models
- Train and evaluate deep learning models
- These learning paths will get you productive on their own, and also are an excellent base for moving on to deep learning topics
- The most basic classical machine learning models, to exploratory data analysis and customizing architectures
- Data exploration and analysis is at the core of data science
- Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons
Create machine learning models at Microsoft Curriculum
MODULE: 1
Explore data with NumPy and Pandas
Exercise - Explore data with NumPy and Pandas
Visualize data
Exercise - Visualize data with Matplotlib
Examine real world data
Exercise - Examine real world data
MODULE: 2
What is regression?
Exercise - Train and evaluate a regression model
Discover new regression models
Exercise - Experiment with more powerful regression models
Improve models with hyperparameters
Exercise - Optimize and save models
MODULE: 3
What is classification?
Exercise - Train and evaluate a classification model
Evaluate classification models
Exercise - Perform classification with alternative metrics
Create multiclass classification models
Exercise - Train and evaluate multiclass classification models
MODULE: 4
What is clustering?
Exercise - Train and evaluate a clustering model
Evaluate different types of clustering
Exercise - Train and evaluate advanced clustering models
MODULE: 5
Deep neural network concepts
Exercise - Train a deep neural network
Convolutional neural networks
Exercise - Train a convolutional neural network
Transfer learning
Exercise - Use transfer learning