Day-( x 1 ) Today I dived into: 🔹 Learning Curves – visualize training vs validation performance 🔹 Overfitting & Underfitting – balance bias and variance 🔹 Regularization – keep models simple & generalizable #MachineLearning #AI #HandsOnMachineLearning

HandsOnMachineLearning: CSC 319 1.5 Machine Learning 1 - Practical Lab Sheets Lang: Jupyter Notebook ⭐️ 10 #MachineLearning github.com/DulanDias/HandsOn…

#ComputerVision - Richard Szeliski #HandsOnMachineLearning - Aurélien Géron #PracticalDeepLearning - Anirudh Koul, Siddha Ganju, Mesher Kasam #LearningSQL - Alan Beaulieu

My Intended Programming Pathway (In Progress) - websystemer.no/my-intended-p… #automatetheboringstuff #handsonmachinelearning #machinelearning #python #pythonfordataanalysis

Day 12 of #66daysofdata. SVM #HandsonMachineLearning -Soft/Hard margin classifiers -Differences bet LinearSVC, SVC of scikit and when to use them -When u have medium size dataset go with Gaussian/RBF kernel - If dataset is very large use LinearSVC. High dimension tends to linear

@aureliengeron really enjoying your book. #handsonmachinelearning