3 - Classification vs Regression
4 - Classification Error Metrics
5 - Regression Error Metrics
6 - Machine Learning with Python
ÜCRETSİZ ÖNİZLEME7 - Supervised Learning Overview
8 - Linear Regression Theory
9 - Linear Regression with Python Part 1
10 - Linear Regression with Python Part 2
11 - Linear Regression Project Overview
12 - Linear Regression Project Solution
13 - BIAS Variance Trade-Off
14 - Logistic Regression Theory
15 - Logistic Regression with Python Part 1
16 - Logistic Regression with Python Part 2
17 - Logistic Regression with Python Part 3
18 - Logistic Regression Project Overview
19 - Logistic Regression Project Solutions
20 - K Nearest Neighbors Algorithm Theory
21 - K Nearest Neighbors Algorithm With Python
22 - K Nearest Neighbors Algorithm Project Overview
23 - K Nearest Neighbors Algorithm Project Solutions
24 - Decision Trees And Random Forest Algorithm Theory
25 - Decision Trees And Random Forest Algorithm With Python
26 - Decision Trees And Random Forest Algorithm Project Overview
27 - Decision Trees And Random Forest Algorithm Project Solutions - Part 1
28 - Decision Trees And Random Forest Algorithm Project Solutions - Part 2
29 - Support Vectör Machines Algorithm Theory
30 - Support Vectör Machines Algorithm With Python
31 - Support Vectör Machines Algorithm Project Overview
32 - Support Vectör Machines Algorithm Project Solutions
33 - Unsupervised Learning Overview
34 - K Means Clustering Algorithm Theory
35 - K Means Clustering Algorithm With Python
36 - K Means Clustering Algorithm Project Overview
37 - K Means Clustering Algorithm Project Solutions
38 - Hierarchical Clustering Algorithm Theory
39 - Hierarchical Clustering Algorithm With Python
40 - Principal Component Analysis (PCA) Theory
41 - Principal Component Analysis (PCA) With Python
42 - Recommender System Algorithm Theory
43 - Recommender System Algorithm With Python - Part 1
44 - Recommender System Algorithm With Python - Part 2
