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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 Sep, 2023
Language - English
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)
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.
What are the prerequisites for this course?
Basic knowledge of programming is recommended but not required.
Check out the detailed breakdown of what’s inside the course
- Section 1 - Resource Files
- Computer Vision Projectivity 01:47 01:47
- Convolutional Neural Network (CNN) 01:13 01:13
- Demo-1 - Neural Network 09:33 09:33
- Demo-2 - Neural Network with Keras 10:44 10:44
- Demo-3 - Data Cleaning Neural Network 08:03 08:03
- CNN Architecture 01:18 01:18
- Demo-4 - Digit Classification with CNN 18:29 18:29
- Demo-5 - Object Detection with CNN 14:01 14:01
- OpenCV 00:51 00:51
- Demo-6 - Image Processing with OpenCV 06:23 06:23
- Demo-7 - OpenCV Examples 08:51 08:51
- Demo-8 - YOLO with OpenCV 09:24 09:24
- Object Detection & Classification using CNN 01:17 01:17
- Project-1 - Object Detection & Classification using CNN 01:05 01:05
- Project-1 - Solution 23:27 23:27
- Project-2 - Face Detection using OpenCV 01:12 01:12
Data Science with Python
Deep Learning Fundamentals
Deep Learning with Tensorflow and Keras
Data Visualization and Tools
Natural Language Processing (NLP)
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