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15 Graph Algorithms - Spanning Trees/102 Kruskal algorithm implementation II - disjoint set.mp4 27.4 MB
15 Graph Algorithms - Spanning Trees/099 Union find data structure introduction.mp4 25.0 MB
08 Data Structures - Balanced Binary Trees (Red-Black Trees)/048 Red-black trees introduction - basics.mp4 24.9 MB
14 Graph Algorithms - Shortest Paths/090 Dijkstra algorithm introduction - example.mp4 24.6 MB
15 Graph Algorithms - Spanning Trees/100 Spanning trees introduction - Kruskal algorithm.mp4 24.6 MB
13 Graph Algorithms - Graph Traversal Algorithms/085 Depth-first search introduction.mp4 23.8 MB
06 Data Structures - Binary Search Trees/024 Binary search trees theory - basics.mp4 23.7 MB
07 Data Structures - Balanced Binary Trees (AVL Trees)/039 AVL trees introduction - illustration.mp4 23.3 MB
16 Basic Sorting Algorithms/118 Quicksort introduction I.mp4 23.1 MB
07 Data Structures - Balanced Binary Trees (AVL Trees)/038 AVL trees introduction - rotations cases.mp4 22.9 MB
16 Basic Sorting Algorithms/122 Merge sort introduction - conquer.mp4 22.8 MB
13 Graph Algorithms - Graph Traversal Algorithms/083 Breadth-first search introduction.mp4 22.5 MB
17 Source Code & Slides/128 PythonSlides.zip 22.4 MB
14 Graph Algorithms - Shortest Paths/094 Bellman-Ford algorithm introduction.mp4 22.4 MB
14 Graph Algorithms - Shortest Paths/098 Shortest path algorithms applications.mp4 21.5 MB
09 Data Structures - Heaps/059 Heap introduction - array representation.mp4 21.3 MB
04 Data Structures - Linked Lists/010 Linked list introduction - operations.mp4 21.2 MB
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10 Data Structures - Associative Arrays _ Dictionaries/069 Hashtable introduction - basics.mp4 20.8 MB
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12 Lets build a package/09-publishing-on-pypi.mp4 436.3 MB
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03 Your code editor/05-quick-overview-of-vs-code.mp4 333.9 MB
08 Testing code/04-pytest-options.mp4 322.3 MB
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11. Deep Learning/4. Balancing the Dataset.mp4 46.8 MB
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5.Visualizing Data with Matplotlib and Seaborn/20.Graphs with Pandas.mp4 21.0 MB
7.Building Machine Learning Models with Scikit-learn/25.Logistic Regression.mp4 19.5 MB
7.Building Machine Learning Models with Scikit-learn/26.K-Nearest Neighbors.mp4 19.2 MB
8.Model Evaluation and Selection/31.Performance Metrics.mp4 18.7 MB
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04 Basics/008 Operators.mp4 114.7 MB
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08 Tuples/002 Tuples.mp4 68.7 MB
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