Machine Learning & Data Analytics

Python 3.6.5    |    Intermediate
  • 10 Videos | 1h 8m 3s
  • Includes Assessment
  • Earns a Badge
Likes 67 Likes 67
Explore critical machine learning (ML) and deep learning concepts and the various categorizations of algorithms and their implementations using Python.

WHAT YOU WILL LEARN

  • describe the core concepts of machine learning
    identify the critical features and comparable features of machine learning and deep learning
    recognize the correlation and comparable features of machine learning and AI
    set up the development environment for machine learning using Python
    list the various types and techniques of analytics
  • identify the essential benefits of predictive and descriptive analytics
    define the various data metrics that are used to quantify the data for analytics
    classify the various algorithms used in supervised learning
    demonstrate how to implement regression algorithm
    load data set, create data frames, and print the shape of data frames

IN THIS COURSE

  • Playable
    1. 
    Machine Learning Concepts
    5m 34s
    UP NEXT
  • Playable
    2. 
    Machine Learning and Deep Learning
    5m 1s
  • Locked
    3. 
    Machine Learning and AI Correlation
    4m 35s
  • Locked
    4. 
    Installing Python for Machine Learning
    6m 20s
  • Locked
    5. 
    Analytics Types and Techniques
    5m 49s
  • Locked
    6. 
    Benefits of Predictive and Descriptive Analytics
    2m 27s
  • Locked
    7. 
    Nominal, Ordinal, Interval, and Ratio Data Metrics
    12m 3s
  • Locked
    8. 
    Supervised Learning Algorithm
    6m 7s
  • Locked
    9. 
    Implementing Regression
    10m 58s
  • Locked
    10. 
    Exercise: Working with Data Frames
    4m 38s

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