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File List
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01 Introduction/001 Introduction.mp4 4.07 MB
01 Introduction/002 Complexity theory.mp4 56.85 MB
02 Setup/001 Installing LiClipse.mp4 11.77 MB
03 Data Structures/001 Linked List introduction.mp4 35.21 MB
03 Data Structures/002 Linked list implementation.mp4 60.7 MB
03 Data Structures/003 Binary search tree introduction.mp4 31.76 MB
03 Data Structures/004 Binary search tree implementation - Node.mp4 50.26 MB
03 Data Structures/005 Binary Search Tree implementation final.mp4 31.74 MB
03 Data Structures/006 AVL trees introduction.mp4 61.02 MB
03 Data Structures/007 AVL tree implementation I.mp4 40.81 MB
03 Data Structures/008 AVL tree implementation II.mp4 76.34 MB
03 Data Structures/009 Heaps introduction.mp4 45.62 MB
03 Data Structures/010 Heap implementation I.mp4 31.97 MB
03 Data Structures/011 Heap implementation II - heapsort.mp4 37.81 MB
03 Data Structures/012 Hashtable introduction.mp4 69.79 MB
03 Data Structures/013 Ternary search trees introduction.mp4 44.46 MB
03 Data Structures/014 Ternary search trees implementation I.mp4 33.25 MB
03 Data Structures/015 Ternary search trees implementation II.mp4 21.22 MB
04 Graph Algorithms/001 Graph theory.mp4 29.01 MB
04 Graph Algorithms/002 Breadth-first search introduction.mp4 11.34 MB
04 Graph Algorithms/003 Breadth-first search implementation.mp4 23.3 MB
04 Graph Algorithms/004 Depth-first search introduction.mp4 9.02 MB
04 Graph Algorithms/005 Depth-first search implementation.mp4 17.94 MB
04 Graph Algorithms/006 Shortest path introduction.mp4 37.99 MB
04 Graph Algorithms/007 Dijkstra algorithm.mp4 64.97 MB
04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp4 13.05 MB
04 Graph Algorithms/009 Bellman-Ford implementation.mp4 74.66 MB
04 Graph Algorithms/010 Spanning trees introduction.mp4 36.42 MB
04 Graph Algorithms/011 Kruskal algorithm I - The union find data structure.mp4 67.7 MB
04 Graph Algorithms/012 Kruskal algorithm II.mp4 27.9 MB
04 Graph Algorithms/013 Prims-Jarnik algorithm.mp4 45.2 MB
05 Other Problems/001 Red-black trees.mp4 60.22 MB
05 Other Problems/002 Splay trees.mp4 64.68 MB
05 Other Problems/003 Coloring problem.mp4 58.73 MB
05 Other Problems/004 Backtracking - N queens problem.mp4 29.48 MB
05 Other Problems/005 Euler cycles - chinese postman problem.mp4 41.65 MB
06 Basic Sorting Algorithms/001 Bubble sort.mp4 19.28 MB
06 Basic Sorting Algorithms/002 Insertion sort.mp4 18.81 MB
06 Basic Sorting Algorithms/003 Merge sort.mp4 17.86 MB
06 Basic Sorting Algorithms/004 Quicksort.mp4 18.96 MB
06 Basic Sorting Algorithms/005 Counting sort.mp4 18.74 MB
06 Basic Sorting Algorithms/006 Radix sort.mp4 26.66 MB
07 Machine Learning - Introduction/001 Introduction.mp4 22.06 MB
08 Machine Learning - Regression/001 Linear regression introduction.mp4 23.26 MB
08 Machine Learning - Regression/002 Linear regression example.mp4 21.57 MB
08 Machine Learning - Regression/003 Logistic regression introduction.mp4 43.02 MB
08 Machine Learning - Regression/004 Cross validation.mp4 19.95 MB
08 Machine Learning - Regression/005 Logistic regression example - sigmoid function.mp4 46.61 MB
08 Machine Learning - Regression/006 Logistic regression example II.mp4 16.21 MB
08 Machine Learning - Regression/007 Logistic regression example III - credit scoring.mp4 51.42 MB
09 Machine Learning - Classification/001 K-nearest neighbour introduction.mp4 37.32 MB
09 Machine Learning - Classification/002 K-nearest neighbour introduction - normalize data.mp4 10.27 MB
09 Machine Learning - Classification/003 K-nearest neighbour example I.mp4 8.62 MB
09 Machine Learning - Classification/004 K-nearest neighbour example II.mp4 7.56 MB
09 Machine Learning - Classification/005 Naive bayesian classifier introduction.mp4 45.74 MB
09 Machine Learning - Classification/006 Naive bayesian example.mp4 20.78 MB
09 Machine Learning - Classification/007 Support vector machine SVM introduction.mp4 19.53 MB
09 Machine Learning - Classification/008 Support vector machine example I.mp4 10.85 MB
09 Machine Learning - Classification/009 Support vector machine example II - image recognition.mp4 22.78 MB
10 Machine Learning - Tree Based Algorithms/001 Decision trees introduction.mp4 31.76 MB
10 Machine Learning - Tree Based Algorithms/002 Decision tree example I.mp4 5.82 MB
10 Machine Learning - Tree Based Algorithms/003 Decision tree example II - iris data.mp4 49.55 MB
10 Machine Learning - Tree Based Algorithms/004 Pruning and bagging.mp4 14.46 MB
10 Machine Learning - Tree Based Algorithms/005 Random forest introduction.mp4 10.28 MB
10 Machine Learning - Tree Based Algorithms/006 Boosting.mp4 12.18 MB
10 Machine Learning - Tree Based Algorithms/007 Random forest example I.mp4 8.92 MB
10 Machine Learning - Tree Based Algorithms/008 Random forest example II - enhance credit scoring.mp4 8.89 MB
11 Machine Learning - Clustering/001 K-means clustering introduction.mp4 34.02 MB
11 Machine Learning - Clustering/002 K-means clustering example.mp4 17.11 MB
11 Machine Learning - Clustering/003 DBSCAN clustering introduction.mp4 25.57 MB
11 Machine Learning - Clustering/004 Hierarchical clustering introduction.mp4 22.85 MB
11 Machine Learning - Clustering/005 Hierarchical clustering example.mp4 13.58 MB
12 Machine Learning - Neural Networks/001 Introduction.mp4 16.57 MB
12 Machine Learning - Neural Networks/002 Simple example - logical AND table.mp4 30.06 MB
12 Machine Learning - Neural Networks/003 Training a neural network.mp4 36.1 MB
12 Machine Learning - Neural Networks/004 Complex neural networks.mp4 34.83 MB
12 Machine Learning - Neural Networks/005 Applications of neural networks.mp4 24.97 MB
12 Machine Learning - Neural Networks/006 Deep learning.mp4 11.23 MB
12 Machine Learning - Neural Networks/007 Neural network example - XOR problem.mp4 25.12 MB
13 Outro/001 Final words.mp4 6.21 MB
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