Machine Learning with SQL Let's build NLP Applications right inside a Database with just a few SQL commands:
@sumanth_077
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Mathematics for Deep Learning: Essential Resource Guide
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Mathematics for Deep Learning The best resource to learn mathematical concepts for a better understanding of machine learning & deep learning concepts: http://
d2l.ai/chapter_append
ix-mathematics-for-deep-learning/index.html
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Python and Data Science Content Sharing Journey Complete
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet to help this reach more people.
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Implementing Transform and Inverse Transform Methods for PCA
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Now define the "transform" method that transforms the input data into a lower-dimensional representation using the calculated eigenvectors. Finally the "inverse_transform" method to reconstructs the reduced data back to the original space using eigenvectors and mean.
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Eigenvectors and Principal Components for Data Dimensionality Reduction
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Eigen vectors helps in identifying the directions of highest variance in the data, which are then used to construct principal components. These principal components allows you to represent the data in a lower-dimensional while saving as much meaningful information as possible.
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Fit Method: Computing Eigenvalues, Eigenvectors, and Dimensionality Reduction
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Now define the "fit" method that takes in that data and calculates the mean, normalizes the data, computes the covariance matrix, eigenvalues, and eigenvectors. Then the Eigenvectors are sorted based on eigenvalues. You may ask how, eigen vectors does dimensionality reduction?
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PCA Class Implementation: Initializing Components and Eigenvectors
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First Import numpy and define a class named "PCA" to encapsulate the operations. In the __init__ constructor let's initialize the number of components to reduce to, which is n_components, and similarly create placeholders for mean and eigenvectors.
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Principal Component Analysis PCA Explained and Implemented from Scratch
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Princiapal Component Analysis (PCA) clearly explained and implemented from scratch in Python:
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CodeRabbit: AI-Powered Code Review Solution for Developers
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Introducing CodeRabbit, The Future of AI-Powered Code Reviews! While the LLMs have significantly transformed code generation, the code review process still lags behind and remains stressful! Having efficient and effective code review processes is crucial! That's where