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"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.
Linear regression is a statistical method for modeling relationships between a dependent variable with a given set of independent variables. Note: In this article, we refer to dependent variables as responses and independent variables as features for simplicity.
Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"
These are my notes, lessons, models, and code for topics on machine learning. Topics include everything from data pre-processing to logistic regression intuition, and more!