23:54 Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python) codebasics
34:50 Dive Into Deep Learning, Lecture 2: PyTorch Automatic Differentiation (torch.autograd and backward) Dr. Data Science
10:38 Gradient Descent for Multivariate Linear Regression | Vectorized Gradient descent | Machine Learning ML GURU
17:09 Logistic Regression in Python - Machine Learning From Scratch 03 - Python Tutorial Patrick Loeber
21:57 Cost Function in Machine Learning | Gradient Descent Algorithm With Examples | Edureka edureka!
27:43 KNN Algorithm In Machine Learning | KNN Algorithm Using Python | K Nearest Neighbor | Simplilearn Simplilearn
15:42 Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code codebasics
1:18:52 Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) Stanford Online
8:02 Ensemble (Boosting, Bagging, and Stacking) in Machine Learning: Easy Explanation for Data Scientists Emma Ding
38:02 Lec 13 || Decision Tree problem based on the Continuous-valued attribute (Lec Date: 17/09/2021) Amol Jumde
11:46 Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python) codebasics
5:24 Never Forget Again! // Precision vs Recall with a Clear Example of Precision and Recall Kimberly Fessel
