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Key Information	Python Machine Learning Immersive
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	$1,895 30 Hours
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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.
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.
Location	185 Madison Ave, NYC or Live Online
Schedule	Next start date: December 16–20, Monday to Friday, 10–5pm Other scheduling options Weekdays, evenings, or saturdays View full schedule
Certification	Receive a Certificate of Completion
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Payment Plan See our payment plan FAQ for more details
Financing See our Climb Credit 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
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

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