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Comments

2 years ago

Thanks mate

Files

01 Introduction/001 Introduction.mp4 4.3 MB
01 Introduction/002 Complexity theory.mp4 60 MB
02 Setup/001 Installing LiClipse.mp4 12 MB
03 Data Structures/001 Linked List introduction.mp4 37 MB
03 Data Structures/002 Linked list implementation.mp4 64 MB
03 Data Structures/003 Binary search tree introduction.mp4 33 MB
03 Data Structures/004 Binary search tree implementation Node.mp4 53 MB
03 Data Structures/005 Binary Search Tree implementation final.mp4 33 MB
03 Data Structures/006 AVL trees introduction.mp4 64 MB
03 Data Structures/007 AVL tree implementation I.mp4 43 MB
03 Data Structures/008 AVL tree implementation II.mp4 80 MB
03 Data Structures/009 Heaps introduction.mp4 48 MB
03 Data Structures/010 Heap implementation I.mp4 34 MB
03 Data Structures/011 Heap implementation II heapsort.mp4 40 MB
03 Data Structures/012 Hashtable introduction.mp4 73 MB
03 Data Structures/013 Ternary search trees introduction.mp4 47 MB
03 Data Structures/014 Ternary search trees implementation I.mp4 35 MB
03 Data Structures/015 Ternary search trees implementation II.mp4 22 MB
04 Graph Algorithms/001 Graph theory.mp4 30 MB
04 Graph Algorithms/002 Breadth-first search introduction.mp4 12 MB
04 Graph Algorithms/003 Breadth-first search implementation.mp4 24 MB
04 Graph Algorithms/004 Depth-first search introduction.mp4 9.5 MB
04 Graph Algorithms/005 Depth-first search implementation.mp4 19 MB
04 Graph Algorithms/006 Shortest path introduction.mp4 40 MB
04 Graph Algorithms/007 Dijkstra algorithm.mp4 68 MB
04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp4 14 MB
04 Graph Algorithms/009 Bellman-Ford implementation.mp4 78 MB
04 Graph Algorithms/010 Spanning trees introduction.mp4 38 MB
04 Graph Algorithms/011 Kruskal algorithm I The union find data structure.mp4 71 MB
04 Graph Algorithms/012 Kruskal algorithm II.mp4 29 MB
04 Graph Algorithms/013 Prims-Jarnik algorithm.mp4 47 MB
05 Other Problems/001 Red-black trees.mp4 63 MB
05 Other Problems/002 Splay trees.mp4 68 MB
05 Other Problems/003 Coloring problem.mp4 62 MB
05 Other Problems/004 Backtracking N queens problem.mp4 31 MB
05 Other Problems/005 Euler cycles chinese postman problem.mp4 44 MB
06 Basic Sorting Algorithms/001 Bubble sort.mp4 20 MB
06 Basic Sorting Algorithms/002 Insertion sort.mp4 20 MB
06 Basic Sorting Algorithms/003 Merge sort.mp4 19 MB
06 Basic Sorting Algorithms/004 Quicksort.mp4 20 MB
06 Basic Sorting Algorithms/005 Counting sort.mp4 20 MB
06 Basic Sorting Algorithms/006 Radix sort.mp4 28 MB
07 Machine Learning Introduction/001 Introduction.mp4 23 MB
08 Machine Learning Regression/001 Linear regression introduction.mp4 24 MB
08 Machine Learning Regression/002 Linear regression example.mp4 23 MB
08 Machine Learning Regression/003 Logistic regression introduction.mp4 45 MB
08 Machine Learning Regression/004 Cross validation.mp4 21 MB
08 Machine Learning Regression/005 Logistic regression example sigmoid function.mp4 49 MB
08 Machine Learning Regression/006 Logistic regression example II.mp4 17 MB
08 Machine Learning Regression/007 Logistic regression example III credit scoring.mp4 54 MB
09 Machine Learning Classification/001 K-nearest neighbour introduction.mp4 39 MB
09 Machine Learning Classification/002 K-nearest neighbour introduction normalize data.mp4 11 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
09 Machine Learning Classification/005 Naive bayesian classifier introduction.mp4 48 MB
09 Machine Learning Classification/006 Naive bayesian example.mp4 22 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 24 MB
10 Machine Learning Tree Based Algorithms/001 Decision trees introduction.mp4 33 MB
10 Machine Learning Tree Based Algorithms/002 Decision tree example I.mp4 6.1 MB
10 Machine Learning Tree Based Algorithms/003 Decision tree example II iris data.mp4 52 MB
10 Machine Learning Tree Based Algorithms/004 Pruning and bagging.mp4 15 MB
10 Machine Learning Tree Based Algorithms/005 Random forest introduction.mp4 11 MB
10 Machine Learning Tree Based Algorithms/006 Boosting.mp4 13 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
11 Machine Learning Clustering/001 K-means clustering introduction.mp4 36 MB
11 Machine Learning Clustering/002 K-means clustering example.mp4 18 MB
11 Machine Learning Clustering/003 DBSCAN clustering introduction.mp4 27 MB
11 Machine Learning Clustering/004 Hierarchical clustering introduction.mp4 24 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 32 MB
12 Machine Learning Neural Networks/003 Training a neural network.mp4 38 MB
12 Machine Learning Neural Networks/004 Complex neural networks.mp4 36 MB
12 Machine Learning Neural Networks/005 Applications of neural networks.mp4 26 MB
12 Machine Learning Neural Networks/006 Deep learning.mp4 12 MB
12 Machine Learning Neural Networks/007 Neural network example XOR problem.mp4 26 MB
13 Outro/001 Final words.mp4 6.5 MB
Udemy Algorithms and Data Structures in Python -
001 Introduction.mp4 4.1 MB
002 Complexity theory.mp4 57 MB
/001 Installing LiClipse.mp4 12 MB
/001 Linked List introduction.mp4 35 MB
/002 Linked list implementation.mp4 61 MB
/003 Binary search tree introduction.mp4 32 MB
/004 Binary search tree implementation Node.mp4 50 MB
/005 Binary Search Tree implementation final.mp4 32 MB
/006 AVL trees introduction.mp4 61 MB
/007 AVL tree implementation I.mp4 41 MB
/008 AVL tree implementation II.mp4 76 MB
/009 Heaps introduction.mp4 46 MB
/010 Heap implementation I.mp4 32 MB
/011 Heap implementation II heapsort.mp4 38 MB
/012 Hashtable introduction.mp4 70 MB
/013 Ternary search trees introduction.mp4 44 MB
/014 Ternary search trees implementation I.mp4 33 MB
/015 Ternary search trees implementation II.mp4 21 MB
/001 Graph theory.mp4 29 MB
/002 Breadthfirst search introduction.mp4 11 MB
/003 Breadthfirst search implementation.mp4 23 MB
/004 Depthfirst search introduction.mp4 9.0 MB
/005 Depthfirst search implementation.mp4 18 MB
/006 Shortest path introduction.mp4 38 MB
/007 Dijkstra algorithm.mp4 65 MB
/008 BellmanFord algorithm introduction.mp4 13 MB
/009 BellmanFord implementation.mp4 75 MB
/010 Spanning trees introduction.mp4 36 MB
/011 Kruskal algorithm I The union find data structure.mp4 68 MB
/012 Kruskal algorithm II.mp4 28 MB
/013 PrimsJarnik algorithm.mp4 45 MB
/001 Redblack trees.mp4 60 MB
/002 Splay trees.mp4 65 MB
/003 Coloring problem.mp4 59 MB
/004 Backtracking N queens problem.mp4 30 MB
/005 Euler cycles chinese postman problem.mp4 42 MB
/001 Bubble sort.mp4 19 MB
/002 Insertion sort.mp4 19 MB
/003 Merge sort.mp4 18 MB
/004 Quicksort.mp4 19 MB
/005 Counting sort.mp4 19 MB
/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
/002 Linear regression example.mp4 22 MB
/003 Logistic regression introduction.mp4 43 MB
/004 Cross validation.mp4 20 MB
/005 Logistic regression example sigmoid function.mp4 47 MB
/006 Logistic regression example II.mp4 16 MB
/007 Logistic regression example III credit scoring.mp4 51 MB

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