Udemy - Algorithms and Data Structures in Python
File List
- 03 Data Structures/008 AVL tree implementation II.mp4 76.3 MB
- 04 Graph Algorithms/009 Bellman-Ford implementation.mp4 74.7 MB
- 03 Data Structures/012 Hashtable introduction.mp4 69.8 MB
- 04 Graph Algorithms/011 Kruskal algorithm I - The union find data structure.mp4 67.7 MB
- 04 Graph Algorithms/007 Dijkstra algorithm.mp4 65.0 MB
- 05 Other Problems/002 Splay trees.mp4 64.7 MB
- 03 Data Structures/006 AVL trees introduction.mp4 61.0 MB
- 03 Data Structures/002 Linked list implementation.mp4 60.7 MB
- 05 Other Problems/001 Red-black trees.mp4 60.2 MB
- 05 Other Problems/003 Coloring problem.mp4 58.7 MB
- 01 Introduction/002 Complexity theory.mp4 56.8 MB
- 08 Machine Learning - Regression/007 Logistic regression example III - credit scoring.mp4 51.4 MB
- 03 Data Structures/004 Binary search tree implementation - Node.mp4 50.3 MB
- 10 Machine Learning - Tree Based Algorithms/003 Decision tree example II - iris data.mp4 49.6 MB
- 08 Machine Learning - Regression/005 Logistic regression example - sigmoid function.mp4 46.6 MB
- 09 Machine Learning - Classification/005 Naive bayesian classifier introduction.mp4 45.7 MB
- 03 Data Structures/009 Heaps introduction.mp4 45.6 MB
- 04 Graph Algorithms/013 Prims-Jarnik algorithm.mp4 45.2 MB
- 03 Data Structures/013 Ternary search trees introduction.mp4 44.5 MB
- 08 Machine Learning - Regression/003 Logistic regression introduction.mp4 43.0 MB
- 05 Other Problems/005 Euler cycles - chinese postman problem.mp4 41.7 MB
- 03 Data Structures/007 AVL tree implementation I.mp4 40.8 MB
- 04 Graph Algorithms/006 Shortest path introduction.mp4 38.0 MB
- 03 Data Structures/011 Heap implementation II - heapsort.mp4 37.8 MB
- 09 Machine Learning - Classification/001 K-nearest neighbour introduction.mp4 37.3 MB
- 04 Graph Algorithms/010 Spanning trees introduction.mp4 36.4 MB
- 12 Machine Learning - Neural Networks/003 Training a neural network.mp4 36.1 MB
- 03 Data Structures/001 Linked List introduction.mp4 35.2 MB
- 12 Machine Learning - Neural Networks/004 Complex neural networks.mp4 34.8 MB
- 11 Machine Learning - Clustering/001 K-means clustering introduction.mp4 34.0 MB
- 03 Data Structures/014 Ternary search trees implementation I.mp4 33.2 MB
- 03 Data Structures/010 Heap implementation I.mp4 32.0 MB
- 03 Data Structures/003 Binary search tree introduction.mp4 31.8 MB
- 10 Machine Learning - Tree Based Algorithms/001 Decision trees introduction.mp4 31.8 MB
- 03 Data Structures/005 Binary Search Tree implementation final.mp4 31.7 MB
- 12 Machine Learning - Neural Networks/002 Simple example - logical AND table.mp4 30.1 MB
- 05 Other Problems/004 Backtracking - N queens problem.mp4 29.5 MB
- 04 Graph Algorithms/001 Graph theory.mp4 29.0 MB
- 04 Graph Algorithms/012 Kruskal algorithm II.mp4 27.9 MB
- 06 Basic Sorting Algorithms/006 Radix sort.mp4 26.7 MB
- 11 Machine Learning - Clustering/003 DBSCAN clustering introduction.mp4 25.6 MB
- 12 Machine Learning - Neural Networks/007 Neural network example - XOR problem.mp4 25.1 MB
- 12 Machine Learning - Neural Networks/005 Applications of neural networks.mp4 25.0 MB
- 04 Graph Algorithms/003 Breadth-first search implementation.mp4 23.3 MB
- 08 Machine Learning - Regression/001 Linear regression introduction.mp4 23.3 MB
- 11 Machine Learning - Clustering/004 Hierarchical clustering introduction.mp4 22.9 MB
- 09 Machine Learning - Classification/009 Support vector machine example II - image recognition.mp4 22.8 MB
- 07 Machine Learning - Introduction/001 Introduction.mp4 22.1 MB
- 08 Machine Learning - Regression/002 Linear regression example.mp4 21.6 MB
- 03 Data Structures/015 Ternary search trees implementation II.mp4 21.2 MB
- 09 Machine Learning - Classification/006 Naive bayesian example.mp4 20.8 MB
- 08 Machine Learning - Regression/004 Cross validation.mp4 20.0 MB
- 09 Machine Learning - Classification/007 Support vector machine SVM introduction.mp4 19.5 MB
- 06 Basic Sorting Algorithms/001 Bubble sort.mp4 19.3 MB
- 06 Basic Sorting Algorithms/004 Quicksort.mp4 19.0 MB
- 06 Basic Sorting Algorithms/002 Insertion sort.mp4 18.8 MB
- 06 Basic Sorting Algorithms/005 Counting sort.mp4 18.7 MB
- 04 Graph Algorithms/005 Depth-first search implementation.mp4 17.9 MB
- 06 Basic Sorting Algorithms/003 Merge sort.mp4 17.9 MB
- 11 Machine Learning - Clustering/002 K-means clustering example.mp4 17.1 MB
- 12 Machine Learning - Neural Networks/001 Introduction.mp4 16.6 MB
- 08 Machine Learning - Regression/006 Logistic regression example II.mp4 16.2 MB
- 10 Machine Learning - Tree Based Algorithms/004 Pruning and bagging.mp4 14.5 MB
- 11 Machine Learning - Clustering/005 Hierarchical clustering example.mp4 13.6 MB
- 04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp4 13.1 MB
- 10 Machine Learning - Tree Based Algorithms/006 Boosting.mp4 12.2 MB
- 02 Setup/001 Installing LiClipse.mp4 11.8 MB
- 04 Graph Algorithms/002 Breadth-first search introduction.mp4 11.3 MB
- 12 Machine Learning - Neural Networks/006 Deep learning.mp4 11.2 MB
- 09 Machine Learning - Classification/008 Support vector machine example I.mp4 10.9 MB
- 10 Machine Learning - Tree Based Algorithms/005 Random forest introduction.mp4 10.3 MB
- 09 Machine Learning - Classification/002 K-nearest neighbour introduction - normalize data.mp4 10.3 MB
- 04 Graph Algorithms/004 Depth-first search introduction.mp4 9.0 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
- 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
- 13 Outro/001 Final words.mp4 6.2 MB
- 10 Machine Learning - Tree Based Algorithms/002 Decision tree example I.mp4 5.8 MB
- 01 Introduction/001 Introduction.mp4 4.1 MB
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