Cloud Academy - Building a Machine Learning Model

• 0
• 1
• 2
• 3
• 4
• 5

This course will demonstrate how to build and train your own custom machine learning model from scratch. We cover all steps, including how to set up the environment, how to import and prepare your data, how to build and train the model, as well as how to evaluate its performance and make improvements.

Learning Objectives
Import and validate training data
Transform that data into features
Train and evaluate your own machine learning model
Improve the performance of your model

Intended Audience
Data Engineers
Machine Learning Engineers

Prerequisites
A basic understanding of machine learning concepts
Some Python experience

https://cloudacademy.com/course/building-machine-learning-model-4064/introduction/

---

Related News

Data Science Build, Train & Test A Machine Learning Model
Last updated 9/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size:... The Machine Learning Series in Python: Level 1
The Machine Learning Series in Python: Level 1 Published 11/2022 MP4 | Video: h264, 1280x720 |... Building Machine Learning Solutions with scikit-learn (Path)
Building Machine Learning Solutions with scikit-learn (Path) Janani Ravi, Chetan Prabhu |... Building End-to-end Machine Learning Workflows with Kubeflow 1
Last updated 4/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLevel: Bner | Genre:...

System Comment

Facebook Comment