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Browse files- Numpy K.V.RAO Sir/1 - 1st day numpy 06 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/2 - 2nd day numpy 07 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/3 - 3rd day numpy 08 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/4 - 4th day Numpy 09 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/5 - 5th day numpy 10 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/6 - 6th day Numpy 20 01 2025.mp4 +3 -0
- Numpy K.V.RAO Sir/7 - 7th day numpy 21 01 2025.mp4 +3 -0
- sample_data/README.md +19 -0
- sample_data/anscombe.json +49 -0
- sample_data/california_housing_test.csv +0 -0
- sample_data/california_housing_train.csv +0 -0
- sample_data/mnist_test.csv +3 -0
- sample_data/mnist_train_small.csv +3 -0
Numpy K.V.RAO Sir/1 - 1st day numpy 06 01 2025.mp4
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version https://git-lfs.github.com/spec/v1
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Numpy K.V.RAO Sir/2 - 2nd day numpy 07 01 2025.mp4
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Numpy K.V.RAO Sir/3 - 3rd day numpy 08 01 2025.mp4
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Numpy K.V.RAO Sir/4 - 4th day Numpy 09 01 2025.mp4
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Numpy K.V.RAO Sir/5 - 5th day numpy 10 01 2025.mp4
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Numpy K.V.RAO Sir/6 - 6th day Numpy 20 01 2025.mp4
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Numpy K.V.RAO Sir/7 - 7th day numpy 21 01 2025.mp4
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sample_data/README.md
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This directory includes a few sample datasets to get you started.
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* `california_housing_data*.csv` is California housing data from the 1990 US
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Census; more information is available at:
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https://docs.google.com/document/d/e/2PACX-1vRhYtsvc5eOR2FWNCwaBiKL6suIOrxJig8LcSBbmCbyYsayia_DvPOOBlXZ4CAlQ5nlDD8kTaIDRwrN/pub
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* `mnist_*.csv` is a small sample of the
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[MNIST database](https://en.wikipedia.org/wiki/MNIST_database), which is
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described at: http://yann.lecun.com/exdb/mnist/
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* `anscombe.json` contains a copy of
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[Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet); it
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was originally described in
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Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American
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Statistician. 27 (1): 17-21. JSTOR 2682899.
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and our copy was prepared by the
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[vega_datasets library](https://github.com/altair-viz/vega_datasets/blob/4f67bdaad10f45e3549984e17e1b3088c731503d/vega_datasets/_data/anscombe.json).
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sample_data/anscombe.json
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[
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{"Series":"I", "X":10.0, "Y":8.04},
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{"Series":"I", "X":8.0, "Y":6.95},
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{"Series":"I", "X":13.0, "Y":7.58},
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{"Series":"I", "X":9.0, "Y":8.81},
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{"Series":"I", "X":11.0, "Y":8.33},
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{"Series":"I", "X":14.0, "Y":9.96},
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{"Series":"I", "X":6.0, "Y":7.24},
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{"Series":"I", "X":4.0, "Y":4.26},
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{"Series":"I", "X":12.0, "Y":10.84},
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{"Series":"I", "X":7.0, "Y":4.81},
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{"Series":"I", "X":5.0, "Y":5.68},
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{"Series":"II", "X":10.0, "Y":9.14},
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{"Series":"II", "X":8.0, "Y":8.14},
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{"Series":"II", "X":13.0, "Y":8.74},
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{"Series":"II", "X":9.0, "Y":8.77},
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{"Series":"II", "X":11.0, "Y":9.26},
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{"Series":"II", "X":14.0, "Y":8.10},
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{"Series":"II", "X":6.0, "Y":6.13},
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{"Series":"II", "X":4.0, "Y":3.10},
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{"Series":"II", "X":12.0, "Y":9.13},
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{"Series":"II", "X":7.0, "Y":7.26},
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{"Series":"II", "X":5.0, "Y":4.74},
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{"Series":"III", "X":10.0, "Y":7.46},
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{"Series":"III", "X":8.0, "Y":6.77},
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{"Series":"III", "X":13.0, "Y":12.74},
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{"Series":"III", "X":9.0, "Y":7.11},
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{"Series":"III", "X":11.0, "Y":7.81},
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{"Series":"III", "X":14.0, "Y":8.84},
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{"Series":"III", "X":6.0, "Y":6.08},
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{"Series":"III", "X":4.0, "Y":5.39},
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{"Series":"III", "X":12.0, "Y":8.15},
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{"Series":"III", "X":7.0, "Y":6.42},
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{"Series":"III", "X":5.0, "Y":5.73},
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{"Series":"IV", "X":8.0, "Y":6.58},
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{"Series":"IV", "X":8.0, "Y":5.76},
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{"Series":"IV", "X":8.0, "Y":7.71},
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{"Series":"IV", "X":8.0, "Y":8.84},
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{"Series":"IV", "X":8.0, "Y":8.47},
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{"Series":"IV", "X":8.0, "Y":7.04},
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{"Series":"IV", "X":8.0, "Y":5.25},
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{"Series":"IV", "X":19.0, "Y":12.50},
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{"Series":"IV", "X":8.0, "Y":5.56},
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{"Series":"IV", "X":8.0, "Y":7.91},
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{"Series":"IV", "X":8.0, "Y":6.89}
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]
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sample_data/california_housing_test.csv
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sample_data/california_housing_train.csv
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sample_data/mnist_test.csv
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version https://git-lfs.github.com/spec/v1
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sample_data/mnist_train_small.csv
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