October 13, 2024

Day – 4 Training and evaluation of the various ML model

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Day 1 Introduction of AI
day 2 How to install Python and libraries| basic python programming

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Day 3 Introduction of Machine Learning | How to install ML libraries
Day 4 Training and evaluation of the various ML model
Day 5 Height prediction from the age using machine learning
Day 6 Model deployment using Flask

*NATURAL LANGUAGE PROCESSING*
Day 7 Introduction of NLP and its terminology|How to install NLP Libraries
Day 8 Fake News Detection
Day 9 Sentiment analysis using NLP
Day 10 How to create AI virtual assistant using Python
Day 11 Language translator

*DEEP LEARNING*
Day 12 Introduction of deep learning |How to install DL libraries
Day 13 Designing your first Neural network.
Day 14 Object recognition from a pre-trained model
Day 15 Image classification using CNN
Day 16 leaf disease detection using deep learning.
Day 17 Character recognition using convolution neural network
Day 18 Traffic sign Recognition using cnn and Keras
Day 19 Fingerprint authentication using deep learning
Day 20 Label reading using OCR
Day 21 Handwritten digit recognition
Day 22 Number plate recognition

*COMPUTER VISION*
Day 23 Introduction of computer vision | How to install computer vision libraries
Day 24 Face and eye detection in OpenCV.
Day 25 Age and gender detection
Day 26 Brain tumor detection using CNN
Day 27 Face recognition using OpenCV
Day 28 Face mask detection using OpenCV
Day 29 Hand gesture detection opencv
Day 30 Emotion recognition throught the facial express.

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