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"# 09 Strain Gage\n\nThis is one of the most commonly used sensor. It is used in many transducers. Its fundamental operating principle is fairly easy to understand and it will be the purpose of this lecture. \n\nA strain gage is essentially a thin wire that is wrapped on film of plastic. \n<img src... | [
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d0002eb938681f1aa86606ced02f1a76ee95018f | 10,708 | ipynb | Jupyter Notebook | nbs/43_tabular.learner.ipynb | NickVlasov/fastai | 2daa6658b467e795bdef16c980aa7ddfbe55d09c | [
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d00035cf4f5a61a585acf0b2f163831e7a3d6c66 | 97,108 | ipynb | Jupyter Notebook | notebooks/spark/other_notebooks/AerospikeSparkMLLinearRegression.ipynb | artanderson/interactive-notebooks | 73a4744eeabe53dfdfeb6a97d72d3969f9389700 | [
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d0003cbcd9d17d2c4f06cd138b1bd9560704a09d | 30,840 | ipynb | Jupyter Notebook | notebook/fluent_ch18.ipynb | Lin0818/py-study-notebook | 6f70ab9a7fde0d6b46cd65475293e2eef6ef20e7 | [
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d000491b7c790e6ee107777a67eb83691ed8c106 | 4,243 | ipynb | Jupyter Notebook | Sessions/Problem-1.ipynb | Yunika-Bajracharya/pybasics | e04a014b70262ef9905fef5720f58a6f0acc0fda | [
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"## Problem 1\n---\n\n#### The solution should try to use all the python constructs\n\n- Conditionals and Loops\n- Functions\n- Classes\n\n#### and datastructures as possible\n\n- List\n- Tuple\n- Dictionary\n- Set",
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d0004ddbda5277669a00c9cb8161daa5a9dbecdb | 3,548 | ipynb | Jupyter Notebook | filePreprocessing.ipynb | zinccat/WeiboTextClassification | ec3729450f1aa0cfa2657cac955334cfae565047 | [
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"### 原始数据处理程序",
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d00053774622cc4b262f99d26678120db756bf21 | 38,336 | ipynb | Jupyter Notebook | IBM_AI/4_Pytorch/5.1logistic_regression_prediction_v2.ipynb | merula89/cousera_notebooks | caa529a7abd3763d26f3f2add7c3ab508fbb9bd2 | [
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d0005af9eace679454187ce22b2c411130a19e72 | 1,217 | ipynb | Jupyter Notebook | Access Environment variable.ipynb | shkhaider2015/PIAIC-QUARTER-2 | 2b6ef1c8d75f9f52b9da8e735751f5f80c76b227 | [
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d00070e01aa3101ac81e3c3f48915570e8611db3 | 5,451 | ipynb | Jupyter Notebook | stemming.ipynb | Ganeshatmuri/NaturalLanguageProcessing | 491d5bc50559c7a09e0b541a96c4314c20b80927 | [
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"paragraph = \"\"\"I have three visions for India. In 3000 years of our history, people from all over \n the world have come and invaded us, ca... | [
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d00076bca8d2b781f0ba8adff988c49a32fc6928 | 9,146 | ipynb | Jupyter Notebook | jupyter/onnxruntime/machine_learning_with_ONNXRuntime.ipynb | raghav-deepsource/djl | 8d774578a51b298d2ddeb1a898ddd5a157b7f0bd | [
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[
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"# Classification on Iris dataset with sklearn and DJL\n\nIn this notebook, you will try to use a pre-trained sklearn model to run on DJL for a general classification task. The model was trained with [Iris flower dataset](https://en.wikipedia.org/wiki/Iris_flower_data_set).\n\n## Background \n\n### Ir... | [
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d00080cae9b7a28ebc8ef5ae33eb9e79b8f215bf | 5,019 | ipynb | Jupyter Notebook | Algorithms/landsat_radiance.ipynb | OIEIEIO/earthengine-py-notebooks | 5d6c5cdec0c73bf02020ee17d42c9e30d633349f | [
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d0008b5894090e9887e8ce1ff35481414c1bb8d4 | 22,698 | ipynb | Jupyter Notebook | cp2/cp2_method0.ipynb | jet-code/multivariable-control-systems | 81b57d51a4dfc92964f989794f71d525af0359ff | [
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d0009800054b678bfad6c1462b810393ddac51b0 | 217,601 | ipynb | Jupyter Notebook | MNIST/Session2/3_Global_Average_Pooling.ipynb | gmshashank/pytorch_vision | 54367b83e9780fe14c6f8b93157091ffdf7266eb | [
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