9 months ago183. Geometrical Representation of the Linear Regression Model | Skyhighes | Data ScienceSkyhighes Education
9 months ago322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data ScienceSkyhighes Education
9 months ago321. Common Objective Functions L2-norm Loss | Skyhighes | Data ScienceSkyhighes Education
9 months ago319. Graphical Representation of Simple Neural Networks | Skyhighes | Data ScienceSkyhighes Education
9 months ago318. The Linear model with Multiple Inputs and Multiple Outputs | Skyhighes | Data ScienceSkyhighes Education
9 months ago316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data ScienceSkyhighes Education
9 months ago195. Test for Significance of the Model (F-Test) | Skyhighes | Data ScienceSkyhighes Education
9 months ago204. Making Predictions with the Linear Regression | Skyhighes | Data ScienceSkyhighes Education
9 months ago474. Creating the Targets for the Logistic Regression | Skyhighes | Data ScienceSkyhighes Education
9 months ago478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data ScienceSkyhighes Education
9 months ago336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data ScienceSkyhighes Education