👔 I'm Yassine, Machine learning engineer from 
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- Entropy, Cross-Entropy, Mutual information and Kullback-Leibler divergence
An introduction to information theory - Covariance, correlation and R-squared
The complete guide to understand covariance, correlation and R² - How your loan monthly payments are calculated
Understanding what’s behind the bank rate. - Variance and standard deviation
The complete guide to understand variance and standard deviation - Confusion matrix, AUC and ROC curve and Gini clearly explained
Understanding the confusion matrix, AUC and ROC curve with their implementations - Introduction to Principal Component Analysis (PCA)
Learn PCA with its interpretation and its implementation in R - Introduction to Logistic Regression
Learn how logistic regression is implemented from scratch
ML, DL and MLOps tools
Dev tools
