ACA
Intro to Machine Learning:Sentimental Analysis and Face Recognition
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Diabetes Classifier
- Give it some parrameters and it tells if the person has diabetes or not with Naive Bayes Classifier with 76% accuracy
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Lemmatizer
- Reads a tect and lemmatizes it to do break down similar words to their root for sentimental analysis
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Spam Classifier
- Identifies the spam and ham by Naive Bayes by making all the necessary functions from scratch
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Face Recognition using Eigenfaces in Matlab
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Handwriting Detection
- Walkthrough using the MNIST Dataset using Neural Networks
- Using Stochastic Gradient Descent and Backpropagation
- Using Cross Entropy and Softmax cost functions to improve the learning rate in case of high or low activation