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Machine Learning in Python Course 

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Machine Learning in Python Course
 at 
Springboard 
Overview

Gain expertise and hands-on capabilities necessary to comprehend, execute, and leverage machine learning algorithms using Python

Duration

12 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Official Website

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Credential

Certificate

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Machine Learning in Python Course
 at 
Springboard 
Course details

What are the course deliverables?
  • The most common supervised learning and unsupervised learning algorithms, from linear regression to logistic regression to k-means clustering to random forest and other decision tree techniques
  • How to use Pandas and NumPy to accomplish various data mining and data wrangling tasks to turn your data into useable training data
  • How to use scikit-learn, a powerful tool, to comb over your available data and implement practical machine learning techniques
  • How to use computer science techniques to build the foundation of artificial intelligence, big data, and predictive models
  • How to build basic deep neural networks that represent the cutting-edge when it comes to reinforcement learning and deep learning in machines
More about this course
  • This course equip participants with the knowledge and practical skills required to understand, implement, and apply machine learning algorithms using Python
  • The course is structured to accommodate beginners in machine learning, focusing on both theoretical foundations and practical implementation using Python programming language and popular machine learning libraries, preparing individuals to apply these techniques in real-world scenarios

Machine Learning in Python Course
 at 
Springboard 
Curriculum

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Machine Learning in Python Course
 at 
Springboard 

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