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Artificial Intelligence Projects: Project Based Learning

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Artificial Intelligence Projects: Project Based Learning

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

updated on icon Updated on Sep, 2023

language icon Language - English

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architecture icon Development,Artificial Intelligence,Data Science

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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

What will you learn in this course:

  • 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

What are the prerequisites for this course?

  • Basic knowledge of programming is recommended but not required.

Artificial Intelligence Projects: Project Based Learning

Curriculum

Check out the detailed breakdown of what’s inside the course

Computer Vision
17 Lectures
  • play icon Section 1 - Resource Files
  • play icon Computer Vision Projectivity 01:47 01:47
  • play icon Convolutional Neural Network (CNN) 01:13 01:13
  • play icon Demo-1 - Neural Network 09:33 09:33
  • play icon Demo-2 - Neural Network with Keras 10:44 10:44
  • play icon Demo-3 - Data Cleaning Neural Network 08:03 08:03
  • play icon CNN Architecture 01:18 01:18
  • play icon Demo-4 - Digit Classification with CNN 18:29 18:29
  • play icon Demo-5 - Object Detection with CNN 14:01 14:01
  • play icon OpenCV 00:51 00:51
  • play icon Demo-6 - Image Processing with OpenCV 06:23 06:23
  • play icon Demo-7 - OpenCV Examples 08:51 08:51
  • play icon Demo-8 - YOLO with OpenCV 09:24 09:24
  • play icon Object Detection & Classification using CNN 01:17 01:17
  • play icon Project-1 - Object Detection & Classification using CNN 01:05 01:05
  • play icon Project-1 - Solution 23:27 23:27
  • play icon Project-2 - Face Detection using OpenCV 01:12 01:12
Data Science with Python
23 Lectures
Tutorialspoint
Machine Learning
17 Lectures
Tutorialspoint
Deep Learning Fundamentals
19 Lectures
Tutorialspoint
Deep Learning with Tensorflow and Keras
26 Lectures
Tutorialspoint
Data Visualization and Tools
20 Lectures
Tutorialspoint
Natural Language Processing (NLP)
17 Lectures
Tutorialspoint

Instructor Details

Learnkart Technology Pvt Ltd

Learnkart Technology Pvt Ltd

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