DCDevyani Chavanindevyanichavan.hashnode.dev·Feb 25 · 7 min readThe Complete Guide to Matplotlib: From Fundamentals to Advanced VisualizationIntroduction to Matplotlib If you work with Python for data analysis, scientific computing, or machine learning, mastering Matplotlib is not optional, it is foundational. Matplotlib is the core visual00
DCDevyani Chavanindevyanichavan.hashnode.dev·Feb 24 · 4 min readElastic Net RegressionBefore understanding Elastic Net, let’s briefly recall what we learned about Ridge and Lasso. Regularization helps prevent overfitting by adding a penalty term to the loss function. It controls model 00
DCDevyani Chavanindevyanichavan.hashnode.dev·Feb 23 · 7 min readLasso RegressionBefore understanding Lasso Regression, let’s first understand Regularization. What is Regularization? Regularization means we regulate or constrain the model so that it does not overfit. In simple wor00
DCDevyani Chavanindevyanichavan.hashnode.dev·Feb 22 · 8 min readRidge RegressionBefore we start with Ridge Regression, let's first understand Regularization. Regularisation means we regulate the model so it will not overfit. Hence, you can simply define regularisation has set of 00
DCDevyani Chavanindevyanichavan.hashnode.dev·Jul 26, 2024 · 5 min readLogistic Regression(Sigmoid Function)In the previous article, we discussed the perceptron trick. However, when we compared the result with the logistic regression model of sklearn we saw that sklearn model performs better. Infact, you ca00
