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Artificial Intelligence Projects: Project Based Learning

Pack of 7 Courses which is 100% hands-on. Contains 50+ Demos, 14 Projects.

Course Description

Pack of 7 Courses which is 100% hands-on. Contains 50+ Demos, 14 Projects. You also get Dataset and Code files required along with Video explanation/steps of the projects and demos. Also you will get highly structured video resources for the theory.

We will Learn : 

  • Computer Vision
  • Data Science with Python
  • Machine Learning
  • Deep Learning Fundamentals
  • Deep Learning with Tensor flow and Keras
  • Data Visualization and Tools
  • Natural Language Processing (NLP)

Goals

  • Understand the concept of Explainable AI and uncover the blackbox nature of Artificial Neural Networks and visualize their hidden layers using GradCam technique.

  • Develop Deep Learning model to automate and optimize the brain tumor detection processes at a hospital.

  • Build and train AI model to detect and localize brain tumors using ResNets and ResUnet networks (Healthcare applications).

  • Understand the theory and intuition behind Segmentation models and state of the art ResUnet networks.

  • Build, train, deploy AI models in business to predict customer default on credit card using AWS SageMaker XGBoost algorithm.

  • Optimize XGBoost model parameters using hyperparameters optimization search.

  • Apply AI in business applications by performing customer market segmentation to optimize marketing strategy.

Prerequisites

  • Basic knowledge of programming is recommended but not required.

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Curriculum

  • Section 1 - Resource Files
  • Computer Vision Projectivity
    01:47
    Preview
  • Convolutional Neural Network (CNN)
    01:13
    Preview
  • Demo-1 - Neural Network
    09:33
  • Demo-2 - Neural Network with Keras
    10:44
  • Demo-3 - Data Cleaning Neural Network
    08:03
  • CNN Architecture
    01:18
  • Demo-4 - Digit Classification with CNN
    18:29
  • Demo-5 - Object Detection with CNN
    14:01
  • OpenCV
    00:51
  • Demo-6 - Image Processing with OpenCV
    06:23
  • Demo-7 - OpenCV Examples
    08:51
  • Demo-8 - YOLO with OpenCV
    09:24
  • Object Detection & Classification using CNN
    01:17
  • Project-1 - Object Detection & Classification using CNN
    01:05
    Preview
  • Project-1 - Solution
    23:27
  • Project-2 - Face Detection using OpenCV
    01:12
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Artificial Intelligence Projects: Project Based Learning
This Course Includes
  • 18.5 hours
  • 139 Lectures
  • 7 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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