# Python Machine Learning Course Online (Self-Paced)

Canonical URL: <https://training-nyc.com/courses/python-machine-learning-online>

## Overview

Learn machine learning with Python and scikit-learn. Work with linear and logistic regression, k-nearest neighbors, decision trees, and random forests.

Practice cleaning data, selecting features, and dividing data into training, testing, and validation sets. Explore bias, variance, and overfitting, then evaluate model performance. Mathematical ideas are explained visually, without a formal math component.

The course builds on Python programming and experience with NumPy and pandas.

## What you'll learn

- How to clean and balance your data using the pandas library
- Applying machine learning algorithms such as logistic regression and random forests using the scikit-learn library
- Choosing good features to use as input for your algorithms
- Properly splitting data into training, testing, and cross-validation sets
- Important theoretical concepts like overfitting, variance, and bias
- Evaluating the performance of your machine learning models

## Prerequisites

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](/courses/python-data-science-nyc)before taking this course.

## FAQ

### Who is the target audience for this course?

Confident Python developers who would like to explore machine learning hands-on Developers with strong skills in another language, and some background working with data, looking to build machine learning models

### Is this course open to beginners?

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.

### Do you offer payment plans or student financing for this course?

This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify.

### What is the cancellation and refund policy for this single course?

For this course, you are entitled to a 90% refund (your payment less the nonrefundable 10% registration fee) within 30 days of purchase if you have not accessed the course materials.

### What’s included with my tuition?

A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Expert support with answers to your questions from real instructors throughout your learning journey Top-notch curricula that have been tried and tested over many years and are consistently improved for an optimal learning experience 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment

### Are there any additional fees or expenses?

There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. However, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.

### Do you offer any discounts for this course?

Take this course as part of a certificate program and save: Data Analytics & AI Certificate Online (Self-Paced) Price: $6,995 | Hours: 210 Hours

## Pricing

**Tuition:** $1895