Files Included :

1 Introduction - what's this course about Should you take it.mp4 (67.3 MB)
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2 1 - Sorting Customers , Getting our feet wet.mp4 (98.21 MB)
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3 2 - Comprehensions, Summing, Conditionals.mp4 (112.55 MB)
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4 3 - datetime module, adding complexity to customers, dictionaries.mp4 (101.32 MB)
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5 4 - defaultdict, intro to Pandas.mp4 (99.52 MB)
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6 5 - More Pandas, Introduction to map.mp4 (84.94 MB)
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1 Birthday Paradox Intro - Reading Data, Sampling.mp4 (138.03 MB)
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2 Applied 1 - Birthday Paradox Solved.mp4 (122.44 MB)
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3 Applied 1 - Birthday Paradox Variations.mp4 (138.69 MB)
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4 Applied 1 - Birthday Outro and Gotcha!.mp4 (50.58 MB)
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1 Natural Language Intro and Tokenization.mp4 (120.02 MB)
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2 Token Frequencies Solved - Regexp Intro.mp4 (91.69 MB)
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3 Regexp Solved - Using AI to help Code.mp4 (131.72 MB)
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4 %prun performance and Intro to Sentence Similarity Challenge.mp4 (145.47 MB)
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5 Pairwise Sentences Partially Solved - itertools.mp4 (110.84 MB)
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6 Pairwise Sentences Solved - Jaccard Challenge.mp4 (128.52 MB)
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1 Intro the Section, zip and bigrams + trigrams challenge.mp4 (120.66 MB)
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2 Working with CountVectorizer and the Core idea behind document vector spaces.mp4 (141.2 MB)
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3 Working with numpy and building our own distance metric.mp4 (115.2 MB)
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4 Dot Product, Cosine Similarity and Embeddings.mp4 (155.82 MB)
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5 Pairwise Distances, Numpy Array Indexing and argminmax.mp4 (135.75 MB)
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6 Newsgroups Challenge Solved - More on Pandas.mp4 (157.95 MB)
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1 Parsing the Garmin dataset using beautiful soup.mp4 (148.31 MB)
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2 Converting Points into DataFrame, reviewing comprehensions.mp4 (146.43 MB)
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3 Pandas Type Conversions, Plotting the Workout.mp4 (165.03 MB)
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4 Computing Cumulative Time and analyzing correlations.mp4 (155.76 MB)
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5 Pairplots using Seaborn and Using AI to help us compute cumulative distance.mp4 (148.39 MB)
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6 Using Scipy to find Peaks and Troughs - continuing to code with AI.mp4 (164.09 MB)
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7 Battling through to get the correct peaks and troughs indicated in our dataframe.mp4 (163.52 MB)
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8 Avg Lap Distance and Also computing total climbing using AI and numpy clip.mp4 (160.57 MB)
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