Machine Learning with Python | Advanced

Machine learning with python 1
13
Mar

Course duration: 24 hours real time session + 10 hours monitored hands-on

Batches Available: Weekends Only

Ideal For: The course is Intermediate to Advanced level and ideal for developers who are well versed in machine learning concepts and implementation using python. This course can also be taken by aspirants who have successfully completed “Machine Learning with Python for Beginners”

Post course benefits: Lifetime access to online repository, Mock interview support, Project support

Recruitment support: eAgeIT will propose candidates of this program for any open opportunities with its client portfolio. We do not guarantee placement. This will be purely merit based support.

Detailed Coverage:

  1.  AI Basic
    • What/Why is Artificial Intelligence?
    • What is Machine learning & Computer Vision?
    • Getting Started!
  2. Ubuntu Python
    • Setting up environment for AI in Ubuntu.
    • Getting started with Ubuntu.
    • Getting started with python programming language.
    • Basic IO & Data types in python
    • Language Components (if, for, while, case)
    • Collections (Lists, Tuples, Sets, Dictionaries, Sorting Dictionaries, Copying Collections)
  3. Image Basics
    • Open CV & other python libraries
    • Loading, Displaying and saving Images.
    • Pixels, arrays, RGB, Gray Scale, Binary images
    • Drawing Operations.
    • Image Basic operations
      • Translation, Rotation, Resizing, Flipping, Cropping
    • Image Arithmetic
  4. Image Intermediate
    • Bitwise Operations
    • Masking
    • Kernals
    • Morphological Operations
      • Smoothing & Blurring
    • Lighting & Color Spaces
  5. Image Advanced
    • Thresholding
    • Gradients
    • Edge Detection
    • Contours
      • Finding and Drawing Contours
      • Contour Properties
  6. Image Advanced
    • Contours
      • Advanced contour Properties
      • Contour Approximation
      • Sorting Contours
    • Histograms
      • Gray Scale Histogram
      • Color Histogram & Histogram Equalization
  7. Case Study
    • Connected-component labeling
    • Finding River part in images
    •  Detecting Characters in license plates
    • Image segmentations
    • Automate the boring stuff
  8. Image Descriptors Basic
    • Image, Feature descriptors & Feature Vectors
    • Color Channel Statistics
      • Experiment – Identifying Similarities in images
    • Color Histogram
      • Experiment – Sorting your images based on color
    • Harlick Textures
  9. Image Descriptors Advanced
    • Local Binary Pattern
      • Experiment – Building a mini fashion search engine
    • Histogram of Oriented Gradient
      • Experiment – Identifying different Car logos
    • Local Invariant Descriptors
      • SIFT, SURF, RootSIFT
      • Experiment – Panorama Image Stitching
  10. Machine Learning Basics
    • What is image classification?
    • Types of machine learning
    • The image Classification Pipeline
    • K-Nearest Neighbor
      • Experiment – Recognizing handwritten digits
    • Support Vector machine
      • Experiment – Separating colors in a single graph
  11. Machine Learning – Advanced
    • Logistic Regression
      • Experiment – Recognize different Faces
    • Decision Trees
      • Experiment – Scenery Classification
    • Random Forest
      • Experiment – Scenery Classification
    • k-means clustering
      • Experiment – Unsupervised Sorting of colors
  12. Case Studies – Basic
    • Drowsiness Detection using face key points
    • Hand Gesture Recognition system
    • Face Recognition
    • Much More

Course Content

Time: 3 days

Curriculum is empty

Instructor

4.5

2 rating

5 stars
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50%
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  • Thomas Mathew

    Technical Excellence

    I should say that I have been able to connect with wonderful people, both technically and personally, after enrolling in the course.
  • Suveen B

    Well Balanced Course

    The course provides good balance of less theory and more practical application of different techniques covered through sessions taken by renowned faculty.
Free

Customized, Immersive, Hands-On Driven

INR 54000/-

INR 31000/-

Includes

  • Real time virtual classes
  • Pre course reading material
  • Suppliment resources
  • Language: English
  • Certificate of completion

Enroll Now