Python Machine Learning

Price
$1,195.00 USD

Duration
2 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

Python Machine Learning Overview

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.

What Is Included

  • Expert-Led Instruction – Learn from certified instructors with real-world IT and data science experience.

  • 90-Day Access to Class Recordings – Rewatch virtual instructor-led sessions for up to 90 days after class completion.

  • Guaranteed-to-Run Courses – We never cancel a scheduled course, ensuring your training stays on track.

  • Flexible Rescheduling – Option to reschedule your course if needed (see conditions).

  • Free Course Retake Option – Retake the course at no additional cost (see conditions).

  • Hands-On Labs – Gain practical experience applying algorithms and models to real-world datasets.

Course Objectives

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.

Who Should Attend?

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.

  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What Is Machine Learning with Python?

Machine Learning with Python refers to the process of using the Python programming language to build, train, and deploy algorithms that enable computers to learn from data and make decisions or predictions. Python has become the go-to language for machine learning thanks to its simplicity, versatility, and powerful ecosystem of libraries like Scikit-learn, Pandas, NumPy, TensorFlow, and Matplotlib.

Why Should I Take This Course?

Machine learning is a critical skill in today's data-driven world. This course equips you with the tools to solve real-world problems, build predictive models, and deploy your solutions.

Is This Course Worth It?

Absolutely. With Python being one of the most popular languages for machine learning and data science, this course can significantly increase your career opportunities and earning potential.

What’s the Average Salary for Machine Learning Skills?

According to Glassdoor, the average base salary for a Machine Learning Engineer in the U.S. is approximately $126,000 per year. Python and machine learning skills are among the most lucrative in the job market.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Course Prerequisites

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

Python Machine Learning Course Agenda

  • 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
 

Upcoming Class Dates and Times

Jul 21, 22
8:00 AM - 4:00 PM
ENROLL $1,195.00 USD
Nov 10, 11
8:00 AM - 4:00 PM
ENROLL $1,195.00 USD
 



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