Key Information
Python Machine Learning Bootcamp
Python for Automation
Python Data Science & Machine Learning Bootcamp
$1,895 30 Hours
$425 6 Hours
$3,495 96 Hours
Overview
Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
Learn Python to extract data from websites. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages.
Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.
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.
Participants should have knowledge equivalent to our Intro to Python Programming Bootcamp or Python for Data Science Bootcamp courses.
Open to Beginners
Location
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
Schedule
Next start date: January 31–February 7, Tuesday to Monday, 10–5pm
Other scheduling options Weekdays or weeknights
View full schedule
Next start date: January 20, Friday, 10–5pm
Other scheduling options Weekdays or weeknights
View full schedule
Next start date: Jan 9–Feb 7, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Certification
Receive a Certificate of Completion
New York-licensed Certificate Program
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
N/A
N/A
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Data Visualization & Interactive Dashboards
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Leif FAQ for more details
Target Audience
  • 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 building machine learning models
  • Employees whose jobs involve any repetitive work in the browser
  • Entrepreneurs running small businesses that need to run efficiently
  • Individuals looking to learn automation techniques for personal or professional use
  • Those interested in a career in automated software testing

The Python Data Science & Machine Learning Bootcamp is best suited for:

  • Anyone who wants to learn Python, machine learning, and data visualization skills
  • Analysts who work with other data tools looking to transition to Python
  • Developers looking to broaden their skill set by learning data science and Python
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 forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models
  • The syntax of Python and how to construct programs
  • How to run your programs on a regular schedule
  • Identify and correct common errors
  • How to write scripts that automate manual tasks 
  • How to update Excel files automatically using Python
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib and Plotly
  • Build interactive dashboards with Dash Enterprise
  • Make predictions with linear regression 
  • Applying machine learning algorithms to the data
  • Cleaning and balancing data in Pandas
  • Evaluating the performance of machine learning models  
  • Combine information across tables with join statements
  • Advanced techniques such as subqueries and stored procedures 
  • Learn how to write programs in Python to automate everyday tasks