Discover Classes. Earn 10% Rewards.

Python Machine Learning Bootcamp

Master the practical skills needed to create machine learning algorithms that can independently learn patterns and make decisions in this hands-on bootcamp. Gain the in-demand skillset that powers the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

  • All levels
  • 18 and older
  • $1,895
  • Earn 10% Rewards
  • Price Lock
  • 185 Madison Ave, New York, NY & Virtually Online
Book at School

Express Checkout – $1,895


Proceed to Checkout

No Booking Fees. Lowest Price Guaranteed. Earn 10% Rewards.

Give as a Gift

Start Dates (7)

  • $1,895/person
20 left
Book
Show all 5 sessions
  • Mon, Dec 16 at 10:00am - 5:00pm
  • Tue, Dec 17 at 10:00am - 5:00pm
  • Wed, Dec 18 at 10:00am - 5:00pm
  • Thu, Dec 19 at 10:00am - 5:00pm
  • Fri, Dec 20 at 10:00am - 5:00pm
20 left
Book
Show all 5 sessions
  • Mon, Feb 03 at 10:00am - 5:00pm
  • Tue, Feb 04 at 10:00am - 5:00pm
  • Wed, Feb 05 at 10:00am - 5:00pm
  • Thu, Feb 06 at 10:00am - 5:00pm
  • Fri, Feb 07 at 10:00am - 5:00pm
20 left
Book
Show all 10 sessions
  • Mon, Feb 03 at 6:00pm - 9:00pm
  • Wed, Feb 05 at 6:00pm - 9:00pm
  • Mon, Feb 10 at 6:00pm - 9:00pm
  • Wed, Feb 12 at 6:00pm - 9:00pm
  • Mon, Feb 17 at 6:00pm - 9:00pm
  • Wed, Feb 19 at 6:00pm - 9:00pm
  • Mon, Feb 24 at 6:00pm - 9:00pm
  • Wed, Feb 26 at 6:00pm - 9:00pm
  • Mon, Mar 03 at 6:00pm - 9:00pm
  • Wed, Mar 05 at 6:00pm - 9:00pm
20 left
Book
Show all 5 sessions
  • Mon, Mar 24 at 10:00am - 5:00pm
  • Tue, Mar 25 at 10:00am - 5:00pm
  • Wed, Mar 26 at 10:00am - 5:00pm
  • Thu, Mar 27 at 10:00am - 5:00pm
  • Fri, Mar 28 at 10:00am - 5:00pm
20 left
Book
Show all 5 sessions
  • Sat, May 10 at 10:00am - 5:00pm
  • Sat, May 17 at 10:00am - 5:00pm
  • Sat, May 31 at 10:00am - 5:00pm
  • Sat, Jun 07 at 10:00am - 5:00pm
  • Sat, Jun 14 at 10:00am - 5:00pm
Showing 15 of 7

Class Description

Description

What you'll learn in this python class:

Master machine learning to create algorithms that can independently learn patterns and make decisions in this hands-on bootcamp.

This skillset is in high demand, as machine learning algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

This course will begin with linear and logistic regression, the most time-tested and reliable tools for approaching a machine learning problem. The course will then progress to algorithms with a very different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. You’ll also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

The course will be focused on the practical skills needed to solve real-world problems with machine learning. The mathematical foundations for each machine learning algorithm will be explained visually, but there will not be a formal math component. Entering students are expected to be comfortable with writing Python programs, as well as the Numpy and Pandas libraries.

This course does require students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.

This course has a Prerequisite: This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.

Learn more about Python Machine Learning Bootcamp at Noble Desktop.

Syllabus

Fundamentals

Basic Regression Analysis

  • Linear Regression
  • Mean squared error
  • Training set vs Test set
  • Cross validation

Advanced Regression Analysis

  • Multi-linear regression
  • Feature engineering
  • Overfitting

Classification

Logistic Regression

  • Regression vs Classification
  • Logistic Regression
  • Sigmoid function

K-nearest Neighbors

  • K-nearest neighbors
  • Model-based vs memory-based
  • Parametric vs non-parametric
  • Evaluating performance

Decision Trees

Decision Trees

  • Decision tree
  • Interpretability
  • Bias-variance tradeoff

Random forest

  • Random forest
  • Ensemble methods
  • Hyperparameters

Final Portfolio Project

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

Reviews of Classes at Noble Desktop (383)

Questions & Answers (0)

Get quick answers from CourseHorse and past students.

Similar Classes

Noble Desktop

Noble Desktop is a renowned educational institution that specializes in providing comprehensive training in various creative and technology-related fields. Established in 1990 and headquartered in New York City, Noble Desktop has earned a stellar reputation for its high-quality courses and innovative...

Read more about Noble Desktop

CourseHorse Approved

This school has been carefully vetted by CourseHorse and is a verified NYC educator.

Noble Desktop

Noble Desktop

All classes at this location

We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

Also available virtually online

Reviews of Noble Desktop at coursehorse.com

Give This Course as a Gift Card

  • Thousands of classes
  • No expiration
  • Unique and memorable gifts for any occasion
  • Personalized
  • Explore a passion, gain a new skill, discover a new hobby, engage in a memorable experience
  • Instant delivery
  • Lock in a price with the Inflation Buster Gift Card Price Adjuster™

Buy a Gift Card

Book this Class as a Group Event

Booking this class for a group? Find great private group events

Or see all Python Group Events

Explore group events and team building activities ranging from cooking, art, escape rooms, trivia, and more.

CourseHorse Gift Cards

  • Creative & unique gift for any occasion
  • Thousands of classes & experiences
  • No expiration date
  • Instant e-delivery (or choose a date)
  • Add a personalized message
  • Lock in a price with the Inflation Buster Gift Card Price Adjuster™
Buy a Gift Card
gift card with the CourseHorse logo gift card with the CourseHorse logo
Loading...