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Udemy - Algorithms and Data Structures in Python
磁力链接/BT种子名称
Udemy - Algorithms and Data Structures in Python
磁力链接/BT种子简介
种子哈希:
0325dd76eaceec60e035bf631e298bc069f9a945
文件大小:
2.39G
已经下载:
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收录时间:
2020-01-29
最近下载:
2025-10-11
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文件列表
03 Data Structures/008 AVL tree implementation II.mp4
80.0 MB
04 Graph Algorithms/009 Bellman-Ford implementation.mp4
78.3 MB
03 Data Structures/012 Hashtable introduction.mp4
73.2 MB
04 Graph Algorithms/011 Kruskal algorithm I - The union find data structure.mp4
71.0 MB
04 Graph Algorithms/007 Dijkstra algorithm.mp4
68.1 MB
05 Other Problems/002 Splay trees.mp4
67.8 MB
03 Data Structures/006 AVL trees introduction.mp4
64.0 MB
03 Data Structures/002 Linked list implementation.mp4
63.6 MB
05 Other Problems/001 Red-black trees.mp4
63.1 MB
05 Other Problems/003 Coloring problem.mp4
61.6 MB
01 Introduction/002 Complexity theory.mp4
59.6 MB
08 Machine Learning - Regression/007 Logistic regression example III - credit scoring.mp4
53.9 MB
03 Data Structures/004 Binary search tree implementation - Node.mp4
52.7 MB
10 Machine Learning - Tree Based Algorithms/003 Decision tree example II - iris data.mp4
52.0 MB
08 Machine Learning - Regression/005 Logistic regression example - sigmoid function.mp4
48.9 MB
09 Machine Learning - Classification/005 Naive bayesian classifier introduction.mp4
48.0 MB
03 Data Structures/009 Heaps introduction.mp4
47.8 MB
04 Graph Algorithms/013 Prims-Jarnik algorithm.mp4
47.4 MB
03 Data Structures/013 Ternary search trees introduction.mp4
46.6 MB
08 Machine Learning - Regression/003 Logistic regression introduction.mp4
45.1 MB
05 Other Problems/005 Euler cycles - chinese postman problem.mp4
43.7 MB
03 Data Structures/007 AVL tree implementation I.mp4
42.8 MB
04 Graph Algorithms/006 Shortest path introduction.mp4
39.8 MB
03 Data Structures/011 Heap implementation II - heapsort.mp4
39.6 MB
09 Machine Learning - Classification/001 K-nearest neighbour introduction.mp4
39.1 MB
04 Graph Algorithms/010 Spanning trees introduction.mp4
38.2 MB
12 Machine Learning - Neural Networks/003 Training a neural network.mp4
37.9 MB
03 Data Structures/001 Linked List introduction.mp4
36.9 MB
12 Machine Learning - Neural Networks/004 Complex neural networks.mp4
36.5 MB
11 Machine Learning - Clustering/001 K-means clustering introduction.mp4
35.7 MB
03 Data Structures/014 Ternary search trees implementation I.mp4
34.9 MB
03 Data Structures/010 Heap implementation I.mp4
33.5 MB
03 Data Structures/003 Binary search tree introduction.mp4
33.3 MB
10 Machine Learning - Tree Based Algorithms/001 Decision trees introduction.mp4
33.3 MB
03 Data Structures/005 Binary Search Tree implementation final.mp4
33.3 MB
12 Machine Learning - Neural Networks/002 Simple example - logical AND table.mp4
31.5 MB
05 Other Problems/004 Backtracking - N queens problem.mp4
30.9 MB
04 Graph Algorithms/001 Graph theory.mp4
30.4 MB
04 Graph Algorithms/012 Kruskal algorithm II.mp4
29.3 MB
06 Basic Sorting Algorithms/006 Radix sort.mp4
28.0 MB
11 Machine Learning - Clustering/003 DBSCAN clustering introduction.mp4
26.8 MB
12 Machine Learning - Neural Networks/007 Neural network example - XOR problem.mp4
26.3 MB
12 Machine Learning - Neural Networks/005 Applications of neural networks.mp4
26.2 MB
04 Graph Algorithms/003 Breadth-first search implementation.mp4
24.4 MB
08 Machine Learning - Regression/001 Linear regression introduction.mp4
24.4 MB
11 Machine Learning - Clustering/004 Hierarchical clustering introduction.mp4
24.0 MB
09 Machine Learning - Classification/009 Support vector machine example II - image recognition.mp4
23.9 MB
07 Machine Learning - Introduction/001 Introduction.mp4
23.1 MB
08 Machine Learning - Regression/002 Linear regression example.mp4
22.6 MB
03 Data Structures/015 Ternary search trees implementation II.mp4
22.2 MB
09 Machine Learning - Classification/006 Naive bayesian example.mp4
21.8 MB
08 Machine Learning - Regression/004 Cross validation.mp4
20.9 MB
09 Machine Learning - Classification/007 Support vector machine SVM introduction.mp4
20.5 MB
06 Basic Sorting Algorithms/001 Bubble sort.mp4
20.2 MB
06 Basic Sorting Algorithms/004 Quicksort.mp4
19.9 MB
06 Basic Sorting Algorithms/002 Insertion sort.mp4
19.7 MB
06 Basic Sorting Algorithms/005 Counting sort.mp4
19.7 MB
04 Graph Algorithms/005 Depth-first search implementation.mp4
18.8 MB
06 Basic Sorting Algorithms/003 Merge sort.mp4
18.7 MB
11 Machine Learning - Clustering/002 K-means clustering example.mp4
17.9 MB
12 Machine Learning - Neural Networks/001 Introduction.mp4
17.4 MB
08 Machine Learning - Regression/006 Logistic regression example II.mp4
17.0 MB
10 Machine Learning - Tree Based Algorithms/004 Pruning and bagging.mp4
15.2 MB
11 Machine Learning - Clustering/005 Hierarchical clustering example.mp4
14.2 MB
04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp4
13.7 MB
10 Machine Learning - Tree Based Algorithms/006 Boosting.mp4
12.8 MB
02 Setup/001 Installing LiClipse.mp4
12.3 MB
04 Graph Algorithms/002 Breadth-first search introduction.mp4
11.9 MB
12 Machine Learning - Neural Networks/006 Deep learning.mp4
11.8 MB
09 Machine Learning - Classification/008 Support vector machine example I.mp4
11.4 MB
10 Machine Learning - Tree Based Algorithms/005 Random forest introduction.mp4
10.8 MB
09 Machine Learning - Classification/002 K-nearest neighbour introduction - normalize data.mp4
10.8 MB
04 Graph Algorithms/004 Depth-first search introduction.mp4
9.5 MB
10 Machine Learning - Tree Based Algorithms/007 Random forest example I.mp4
9.4 MB
10 Machine Learning - Tree Based Algorithms/008 Random forest example II - enhance credit scoring.mp4
9.3 MB
09 Machine Learning - Classification/003 K-nearest neighbour example I.mp4
9.0 MB
09 Machine Learning - Classification/004 K-nearest neighbour example II.mp4
7.9 MB
13 Outro/001 Final words.mp4
6.5 MB
10 Machine Learning - Tree Based Algorithms/002 Decision tree example I.mp4
6.1 MB
01 Introduction/001 Introduction.mp4
4.3 MB
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