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.