Machine Learning with Python
- Intermediate
- 18 and older
- $1,795
- Online, New York, NY
- 24 hours over 3 sessions
Thankfully we have 18 other Python Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.
Mar 30th
10am–5pm EDT
Meets 5 Times
Apr 15th
10am–5pm EDT
Meets 5 Times
Apr 17th
6–9pm EDT
Meets 10 Times
May 20th
10am–5pm EDT
Meets 5 Times
This class has 6 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Discover the versatile and highly sought-after Python programming language in this comprehensive two-day course that will equip you with the skills needed to build software, analyze data, and create stunning websites. Join Noble Desktop as they guide you through hands-on exercises from day one, ensuring a solid foundation for future endeavors in data science or web development.
Mar 30th
10am–5pm EDT
Meets 2 Times
Apr 15th
10am–5pm EDT
Meets 2 Times
Apr 17th
6–9pm EDT
Meets 4 Times
May 20th
10am–5pm EDT
Meets 2 Times
This class has 4 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Master the art of visualizing data and creating interactive dashboards using Python. Gain hands-on experience with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Impress potential employers with your data science skills by working on real-life projects and demonstrating your coding and analytical abilities.
Apr 2nd
6–9pm EDT
Meets 10 Times
Apr 3rd
10am–5pm EDT
Meets 5 Times
May 11th
10am–5pm EDT
Meets 4 Times
This class has 4 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Learn how to apply Python to analyze data, create predictive models using machine learning, and automate tasks in this comprehensive data science course. Gain the necessary programming skills to excel in entry-level data science and Python engineering positions.
Mar 30th
10am–5pm EDT
Meets 15 Times
Apr 17th
6–9pm EDT
Meets 30 Times
This class has 4 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Learn how to automate time-consuming tasks and gather valuable data from the web using Python in this practical course. Perfect for programming beginners who use Python for web or software development. Prerequisite: Intro to Python Programming or Python for Data Science.
Apr 2nd
10am–5pm EDT
May 4th
10am–5pm EDT
This class has 3 more dates.
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This hands-on machine learning course advances your data analysis skills into the realm of real-world data science. If you have a working familiarity with Python, our three-day class equips you to go back to work with real-world predictive modeling and basic machine learning techniques. Led by expert data scientists, you will work with Python to lay your data science foundation and learn techniques that allow you to leverage your data in sophisticated, powerful new ways.
In this Machine Learning Python Course, You Will Learn How to:
Course Outline
Part 1: Overview of Data Science
Part 2: The Data Foundation
Part 3: Sampling and Hypothesis Testing
Part 4: Machine Learning Fundamentals
Part 5: Building a Linear Regression Model with Python
Part 6: Example of building a Classification Model with Python
Part 7: Example of Cluster Analysis with Python
Part 8: Dimension Reduction techniques with Python
Part 9: Class Conclusion
Who should attend
Intermediate level data analysts interested in expanding their data mining processes. We emphasize Data Foundation and Machine Learning concepts. All exercises are performed using Python.
Pre-Requisites
In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.
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