ML-and-DL-Notes

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ML-and-DL-Notes

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My Machine Learning, Deep Learning and Computer Vision notes written from various blogs, books and YouTube lectures. In this notes, I will dump all the concepts I learn in this space over time.

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# ML-and-DL-Notes

My ML and DL notes written from various blogs, books and YouTube lectures. In this notes, I will dump all the concepts I learn in this space over time.

# Table of contents

1. [Machine Learning](./Machine-Learning/README.md)
    1. [Supervised ML](./Machine-Learning/Supervised-ML/README.md)
        1. [KNN](./Machine-Learning/Supervised-ML/KNN.md)
        1. [Perceptron](./Machine-Learning/Supervised-ML/Perceptron.md)
        1. [Linear Regression](./Machine-Learning/Supervised-ML/LinearRegression.md)
        1. [Logistic Regression](./Machine-Learning/Supervised-ML/LogisticRegression.md)
        1. [General Linear Models](./Machine-Learning/Supervised-ML/GLM.md)
        1. [Generative Learning](./Machine-Learning/Supervised-ML/GenerativeLearning.md)
        1. [Support Vector Machines](./Machine-Learning/Supervised-ML/SVM.md)
        1. [Empirical Risk Minimization](./Machine-Learning/Supervised-ML/ERM.md)
        1. [Decision Trees](./Machine-Learning/Supervised-ML/DecisionTrees.md)
        1. [Bagging](./Machine-Learning/Supervised-ML/Bagging.md)
        1. [Boosting](./Machine-Learning/Supervised-ML/Boosting.md)
        1. [Metrics](./Machine-Learning/Supervised-ML/Metrics.md)

1. [Unsupervised ML](./Machine-Learning/Unsupervised-ML/README.md)

1. [KMeans](./Machine-Learning/UnSupervised-ML/KMeans.md)
        1. [Hierarchial Clustering](./Machine-Learning/UnSupervised-ML/AHC.md)
        1. [Gaussian Mixture Models](./Machine-Learning/UnSupervised-ML/GMM.md)
        1. [DB Scan Algorithm](./Machine-Learning/UnSupervised-ML/DBScan.md)
        1. [Anamoly Detection](./Machine-Learning/UnSupervised-ML/Anamoly.md)

2. [Deep Learning](./Deep-Learning/README.md)
    1. [Neural Networks](./Deep-Learning/NeuralNetworks.md)
    1. [Optimization](./Deep-Learning/Optimization.md)
    1. [Activation Functions](./Deep-Learning/ActivationFuntions.md)
    1. [Weights Initialization Strategies](./Deep-Learning/WeightInitialization.md)
    1. [Regularization](./Deep-Learning/Regularization.md)
    1. [Practical Aspects](./Deep-Learning/PracticalAspects.md)
    1. [Auto Encoders](./Deep-Learning/AutoEncoder.md)
    
3. [Computer Vision](./Computer-Vision/README.md)
    1. [Understanding CNNs](./Computer-Vision/CNNs/README.md)
    1. [CNN Intepretability](./Computer-Vision/CNN-Interpretability/README.md)
        1. [Class Activation Maps](./Computer-Vision/CNN-Interpretability/CAM.md)
        1. [Grad CAM](./Computer-Vision/CNN-Interpretability/GradCAM.md)
        1. [Intergrated Gradients](./Computer-Vision/CNN-Interpretability/IntegratedGradients.md)

1. [Object detection](./Computer-Vision/Object-Detection/README.md)

1. [YOLO Family](./Computer-Vision/Object-Detection/one-shot-detectors.md)
        1. [RCNN Family](./Computer-Vision/Object-Detection/two-shot-detectors.md)
        
4. Natural Language Processing
    1. [Word2Vec](./Natural-Language-Processing/Word2Vec/README.md)
    2. [Sequence-Models](./Natural-Language-Processing/Sequence-Models/README.md)
    3. [Transformers](./Natural-Language-Processing/Transformers/README.md)
    4. [BERT](./Natural-Language-Processing/BERT/README.md)
    5. [GPT](./Natural-Language-Processing/GPT/README.md)

***Just the sections on machine learning and deep learning have been finished. The remaining sections are incomplete.***. 
### Disclaimer
**All the text has been copied and pasted straight from different sources, with small edits made as needed.  I acknowledged all the sources in the respective README.md file. I am sorry if i miss out acknowledging any source. Please let me know through email.**

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