Training
Hands-on Python Environment (Tools) - Applications of Machine Learning, Deep Learning, NLP and Artificial Intelligence
Python latest version to download from: https://www.python.org/downloads/
· Python with visual studio from: https://visualstudio.microsoft.com/downloads/ (Community)
· Pycharm https://www.jetbrains.com/pycharm/download/#section=windows (Community)
· Anaconda https://www.anaconda.com/blog/individual-edition-2021-05 (Individual)
· Google Colab https://colab.research.google.com/ (Gmail ID Required)
OVERVIEW
Overview of this course | Introduction to AI | Basic AI applications | How to install Python & Libraries.
Introduction to different Python Environments | Basics of python Programming for AI | Introduction to Github and repository |Chat bot using DialogFlow.
COMPUTER VISION
Introduction to Computer Vision| How to install computer vision libraries.
Object Detection | Moving Object Detection and tracking | Color based Object Tracking.
Face Recognition | Face Detection and Tracking|Face Emotion recognition.
Image Segmentation | Gender and Age Detection | Smile Selfie Capture.
DEEP LEARNING
Introduction to Deep learning | How to install DL libraries | Designing our First Neural Network.
Object recognition from Pre-trained model | Image classification.
Leaf disease detection |Drowsiness detection.
Hand gesture recognition | Smart Attendance system.
Vehicle detection | License plate recognition.
Road sign recognition| Character recognition | Label reading using Optical Character recognition.
MACHINE LEARNING
Introduction to Machine learning| How to install ML libraries | Evaluating and Deploying the various ML model.
WebScraping|Fake news detection.
Stock Price Prediction | Music Genre Classification.
Machine Learning for Game Development | AI snake game design using ML.
NATURAL LANGUAGE PROCESSING
Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK.
Title Formation from the paragraph | Text Generation | Text Summarization.
Sentiment Analysis |Speech emotion analysis using NLP.
Movie Reviews Sentiment Analysis | TweetsSentimentAnalysis.
APPLICATIONS OF ML
Health Science Informatics and Disease Prediction , Automations, Business Analytics, Government Policies, Economy & International Relations, Construction,general science (Physics, Chemistry, Biology), Mathematics modeling of real life problems ,IoT,Tools & Simulators, Technology & Programming’s Implementations, Energy Sector, Green Technology, Quantum Computing, Social Network, Security & Privacy, linguistics, Statistical Machine learning & inference, Technology for Emerging Market, Art and Social Science, Computation & Algorithms, Big Data & Analytics, Computer Vision, Natural Language Processing, Healthcare, Social Network Analysis, Urban Data Science, Deep Learning etc.