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End-to-End Machine Learning

DataCamp, Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
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Course description

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Upcoming start dates

1 start date available

Start Anytime!

  • Self-Paced Online
  • Online
  • English

Training Course Content

Introduction to End-to-End Machine Learning


Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models with this comprehensive course. Through engaging, real-world examples and hands-on exercises, you'll learn to tackle complex data problems and build powerful ML models. By the end of this course, you'll be equipped with the skills needed to create, monitor, and maintain high-performing models that deliver actionable insights. Transform your machine learning expertise with this comprehensive, hands-on course and become an end-to-end ML pro!


Evaluate and Improve Your Model


Start by learning the essentials of exploratory data analysis (EDA) and data preparation - you'll clean and preprocess your data, ensuring it's ready for model training. Next, master the art of feature engineering and selection to optimize your models for real-world challenges; learn how to use the Boruta library for feature selection, log experiments with MLFlow, and fine-tune your models using k-fold cross-validation. Uncover the secrets of effective error metrics and diagnose overfitting, setting your models up for success.


Deploy and Monitor Your Model


You'll also explore the importance of feature stores and model registries in end-to-end ML frameworks. Learn how to deploy and monitor your model's performance over time using Docker and AWS. Understand the concept of data drift and how to detect it using statistical tests. Implement feedback loops, retraining, and labeling strategies to maintain your models' performance in the face of ever-changing data.


This course will equip you with practical skills directly applicable to a career as a data scientist or machine learning engineer, allowing you to design, deploy, and maintain models; crucial skills to leverage the business impact of machine learning solutions.

Why choose DataCamp

More than 14 Million learners worldwide

80% of the Fortune 1000 use DataCamp

DataCamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London

DataCamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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