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Udemy - Algorithms and Data Structures in Python

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File Name
Size
01 Introduction/001 Introduction.mp4
4.1 MB
01 Introduction/002 Complexity theory.mp4
57 MB
02 Setup/001 Installing LiClipse.mp4
12 MB
03 Data Structures/001 Linked List introduction.mp4
35 MB
03 Data Structures/002 Linked list implementation.mp4
61 MB
03 Data Structures/003 Binary search tree introduction.mp4
32 MB
03 Data Structures/004 Binary search tree implementation - Node.mp4
50 MB
03 Data Structures/005 Binary Search Tree implementation final.mp4
32 MB
03 Data Structures/006 AVL trees introduction.mp4
61 MB
03 Data Structures/007 AVL tree implementation I.mp4
41 MB
03 Data Structures/008 AVL tree implementation II.mp4
76 MB
03 Data Structures/009 Heaps introduction.mp4
46 MB
03 Data Structures/010 Heap implementation I.mp4
32 MB
03 Data Structures/011 Heap implementation II - heapsort.mp4
38 MB
03 Data Structures/012 Hashtable introduction.mp4
70 MB
03 Data Structures/013 Ternary search trees introduction.mp4
44 MB
03 Data Structures/014 Ternary search trees implementation I.mp4
33 MB
03 Data Structures/015 Ternary search trees implementation II.mp4
21 MB
04 Graph Algorithms/001 Graph theory.mp4
29 MB
04 Graph Algorithms/002 Breadth-first search introduction.mp4
11 MB
04 Graph Algorithms/003 Breadth-first search implementation.mp4
23 MB
04 Graph Algorithms/004 Depth-first search introduction.mp4
9.0 MB
04 Graph Algorithms/005 Depth-first search implementation.mp4
18 MB
04 Graph Algorithms/006 Shortest path introduction.mp4
38 MB
04 Graph Algorithms/007 Dijkstra algorithm.mp4
65 MB
04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp4
13 MB
04 Graph Algorithms/009 Bellman-Ford implementation.mp4
75 MB
04 Graph Algorithms/010 Spanning trees introduction.mp4
36 MB
04 Graph Algorithms/011 Kruskal algorithm I - The union find data structure.mp4
68 MB
04 Graph Algorithms/012 Kruskal algorithm II.mp4
28 MB
04 Graph Algorithms/013 Prims-Jarnik algorithm.mp4
45 MB
05 Other Problems/001 Red-black trees.mp4
60 MB
05 Other Problems/002 Splay trees.mp4
65 MB
05 Other Problems/003 Coloring problem.mp4
59 MB
05 Other Problems/004 Backtracking - N queens problem.mp4
30 MB
05 Other Problems/005 Euler cycles - chinese postman problem.mp4
42 MB
06 Basic Sorting Algorithms/001 Bubble sort.mp4
19 MB
06 Basic Sorting Algorithms/002 Insertion sort.mp4
19 MB
06 Basic Sorting Algorithms/003 Merge sort.mp4
18 MB
06 Basic Sorting Algorithms/004 Quicksort.mp4
19 MB
06 Basic Sorting Algorithms/005 Counting sort.mp4
19 MB
06 Basic Sorting Algorithms/006 Radix sort.mp4
27 MB
07 Machine Learning - Introduction/001 Introduction.mp4
22 MB
08 Machine Learning - Regression/001 Linear regression introduction.mp4
23 MB
08 Machine Learning - Regression/002 Linear regression example.mp4
22 MB
08 Machine Learning - Regression/003 Logistic regression introduction.mp4
43 MB
08 Machine Learning - Regression/004 Cross validation.mp4
20 MB
08 Machine Learning - Regression/005 Logistic regression example - sigmoid function.mp4
47 MB
08 Machine Learning - Regression/006 Logistic regression example II.mp4
16 MB
08 Machine Learning - Regression/007 Logistic regression example III - credit scoring.mp4
51 MB
09 Machine Learning - Classification/001 K-nearest neighbour introduction.mp4
37 MB
09 Machine Learning - Classification/002 K-nearest neighbour introduction - normalize data.mp4
10 MB
09 Machine Learning - Classification/003 K-nearest neighbour example I.mp4
8.6 MB
09 Machine Learning - Classification/004 K-nearest neighbour example II.mp4
7.6 MB
09 Machine Learning - Classification/005 Naive bayesian classifier introduction.mp4
46 MB
09 Machine Learning - Classification/006 Naive bayesian example.mp4
21 MB
09 Machine Learning - Classification/007 Support vector machine SVM introduction.mp4
20 MB
09 Machine Learning - Classification/008 Support vector machine example I.mp4
11 MB
09 Machine Learning - Classification/009 Support vector machine example II - image recognition.mp4
23 MB
10 Machine Learning - Tree Based Algorithms/001 Decision trees introduction.mp4
32 MB
10 Machine Learning - Tree Based Algorithms/002 Decision tree example I.mp4
5.8 MB
10 Machine Learning - Tree Based Algorithms/003 Decision tree example II - iris data.mp4
50 MB
10 Machine Learning - Tree Based Algorithms/004 Pruning and bagging.mp4
14 MB
10 Machine Learning - Tree Based Algorithms/005 Random forest introduction.mp4
10 MB
10 Machine Learning - Tree Based Algorithms/006 Boosting.mp4
12 MB
10 Machine Learning - Tree Based Algorithms/007 Random forest example I.mp4
8.9 MB
10 Machine Learning - Tree Based Algorithms/008 Random forest example II - enhance credit scoring.mp4
8.9 MB
11 Machine Learning - Clustering/001 K-means clustering introduction.mp4
34 MB
11 Machine Learning - Clustering/002 K-means clustering example.mp4
17 MB
11 Machine Learning - Clustering/003 DBSCAN clustering introduction.mp4
26 MB
11 Machine Learning - Clustering/004 Hierarchical clustering introduction.mp4
23 MB
11 Machine Learning - Clustering/005 Hierarchical clustering example.mp4
14 MB
12 Machine Learning - Neural Networks/001 Introduction.mp4
17 MB
12 Machine Learning - Neural Networks/002 Simple example - logical AND table.mp4
30 MB
12 Machine Learning - Neural Networks/003 Training a neural network.mp4
36 MB
12 Machine Learning - Neural Networks/004 Complex neural networks.mp4
35 MB
12 Machine Learning - Neural Networks/005 Applications of neural networks.mp4
25 MB
12 Machine Learning - Neural Networks/006 Deep learning.mp4
11 MB
12 Machine Learning - Neural Networks/007 Neural network example - XOR problem.mp4
25 MB
13 Outro/001 Final words.mp4
6.2 MB