Introduction to API and Advanced Machine Learning Course

Description

• Introduction to API and Advanced Machine Learning Course (40 hours)

Overview

Dive into the world of APIs and advanced machine learning with our comprehensive course. Designed for developers and data scientists, this course provides a robust foundation in API development and advanced machine learning techniques to build and deploy powerful data-driven applications.

Course Modules

1. Introduction to Flask
   • Learn the basics of Flask, a lightweight web framework for Python.
   • Understand how to set up a Flask project and create simple web applications.
   • Explore routing, request handling, and building RESTful APIs with Flask.
2. Database Modeling in Flask
   • Gain expertise in integrating databases with Flask applications.
   • Learn about SQLAlchemy for ORM (Object-Relational Mapping) in Flask.
   • Design and implement database schemas, and perform CRUD operations.
3. Hypermedia Design Patterns
   • Understand the principles of hypermedia and its importance in RESTful API design.
   • Learn to implement hypermedia controls in APIs to enhance discoverability and usability.
   • Explore real-world examples and best practices for designing hypermedia-driven APIs.
4. Setting the Stage: Preparing Features for Machine Learning
   • Learn the essential steps for feature engineering and data preprocessing.
   • Understand how to handle missing data, encode categorical variables, and scale features.
   • Explore techniques for selecting and transforming features to improve model performance.
5. Robust Machine Learning with ML Pipelines
   • Gain proficiency in building robust machine learning pipelines using tools like scikit-learn and PySpark.
   • Learn to automate the workflow of data preparation, model training, and evaluation.
   • Understand the importance of pipeline modularity and reusability for scalable ML solutions.
6. Building Custom ML Transformers and Estimators
   • Learn to create custom transformers and estimators to extend the functionality of existing ML libraries.
   • Understand how to implement and integrate these custom components into ML pipelines.
   • Explore use cases where custom ML components can enhance model performance and flexibility.

Why Choose This Course?

• Comprehensive Learning: Cover the full spectrum from API development with Flask to advanced machine learning techniques.
• Hands-On Projects: Engage in practical projects and case studies to apply theoretical knowledge to real-world applications.
• Expert Guidance: Learn from experienced developers and data scientists who provide in-depth instruction and support.
• Cutting-Edge Techniques: Stay updated with the latest advancements in API development and machine learning.

Enroll Today

Take your development and data science skills to the next level with our Introduction to API and Advanced Machine Learning course. Enroll now to master the art of building robust APIs and advanced machine learning models that drive innovative solutions.