In this course data analysts and data scientists practice the full data science workflow by exploring data, building features, training regression and classification models, and tuning and selecting the best model. By the end of this course, you will have built end-to-end machine learning models ready to be launched into production.
Contextualize the role of machine learning in the broader technology and business landscape
Introduce the main topics of supervised machine learning and build a machine learning pipeline in Spark
Train and evaluate models in a distributed environment
Perform and interpret exploratory data analysis including statistics and plotting
Featurize a dataset
Train linear regression models
Train logistic regression models
Tune hyperparameters using grid search and cross-validation
Getting Started with Apache Spark™ DataFrames self-paced course (optional, but strongly encouraged)
Course Overview and Setup
What is ML?
Supported platforms include Azure Databricks, Databricks Community Edition, and non-Azure Databricks.
If you're planning to use the course on Azure Databricks, select the "Azure Databricks" Platform option.
If you're planning to use the course on Databricks Community Edition or on a non-Azure version of Databricks, select the "Other Databricks" Platform option.
The course is a series of eight self-paced lessons available in both Scala and Python. A final capstone project involves writing an end-to-end machine learning pipeline including exploratory analysis, featurizing the data, training a machine learning model, and tuning model hyperparameters using grid search and cross-validation.
https://www.exitcertified.com/it-training/databricks/introduction-data-science-machine-learning-56312-detail.htmlINTRO-DS-ML-SELFIntroduction to Data Science and Machine Learninghttps://assets.exitcertified.com/assets/CourseImages/3f8c4d6cbd/AdobeStock_208219602__FitMaxWzEwMDAsMTAwMF0.jpg75.00USDInStock/Training/DatabricksIn this course data analysts and data scientists practice the full data science workflow by exploring data, building features,...75.00DatabricksSelf Paced2019-03-21T14:07:00+00:00USD