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Train your entire team with our Private Group Training solutions. AstraTech specializes in creating customized training programs to fit your organization’s unique learning needs and business objectives. Take advantage of multiple student discounts, customized curriculum and flexible scheduling with Private Group Training from AstraTech!

    On-Demand Learning (ODL) is a self-paced training solution designed to work around your individual schedule, budget, and learning needs. Our ODL courses provide you with exclusive access to interactive platforms combining high-quality instructor videos from subject matter experts, official courseware and study materials, hands-on labs, practice exercises, skill assessments and knowledge checks. The modular, self-paced ODL course structure adapts to your unique learning needs and style, providing an optimal training experience.

    Train your entire team with our Private Group Training solutions. AstraTech specializes in creating customized training programs to fit your organization’s unique learning needs and business objectives. Take advantage of multiple student discounts, customized curriculum and flexible scheduling with Private Group Training from AstraTech!

    Python for Machine Learning

    $1,195 | 2 days

    Upgrade your tech skills with this training course. Launch your career to the stars with AstraTech IT Certification Training!

    Please select a Learning Method below to get started:

    • Python

    About this Course

    SKILL LEVEL: 
    • Advanced
    BRAND/TECHNOLOGY: 
    TOPICS: 

    Python for Machine Learning Course Outline

    Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python?s Scikit-learn library?equipping you to predict classifications, continuous values, and more.

    Whether you’re refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.

    This course is ideal for experienced Python developers who are ready to expand their skillset into machine learning. If you want to build a modern portfolio of machine learning projects, understand both supervised and unsupervised learning algorithms, and learn practical deployment methods, this course is for you.

    To be successful in this course, learners should have the following: Intermediate Python skills and knowledge

    In this course, you?ll gain practical experience applying machine learning algorithms using Python. You?ll learn how to process and analyze data using NumPy and Pandas, create both classification and regression models with Scikit-learn, and apply feature engineering techniques to real-world datasets. You?ll also explore key concepts such as supervised vs unsupervised learning, model evaluation, and end-to-end model deployment as APIs.

    • Python
    • Jupyter notebooks
    • Numpy
    • Pandas
    • Matplotlib
    • Machine Learning concepts
    • Supervised vs Unsupervised Learning
    • Types of Machine Learning ? Classification vs Regression
    • Evaluation
    • Machine Learning Methods ? All in Theory and Practice
    • Linear Regression
    • Logistic Regression
    • K Nearest Neighbors
    • Support Vector Machine
    • Decision Trees
    • Unsupervised Learning Methods
    • Feature Engineering and Data Preparation