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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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[ [ [ "# Aerospike Connect for Spark - SparkML Prediction Model Tutorial\n## Tested with Java 8, Spark 3.0.0, Python 3.7, and Aerospike Spark Connector 3.0.0", "_____no_output_____" ], [ "## Summary\nBuild a linear regression model to predict birth weight using Aerospike Database and Spa...
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[ [ [ "## Concurrency with asyncio\n\n### Thread vs. coroutine\n", "_____no_output_____" ] ], [ [ "# spinner_thread.py\nimport threading \nimport itertools\nimport time\nimport sys\n\nclass Signal:\n go = True\n\ndef spin(msg, signal):\n write, flush = sys.stdout.write, sys.std...
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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", "_____no_output_____" ], [ "### Problem\n---\n\nMoist has a hobby...
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[ [ [ "### 原始数据处理程序", "_____no_output_____" ], [ "本程序用于将原始txt格式数据以utf-8编码写入到csv文件中, 以便后续操作\n\n请在使用前确认原始数据所在文件夹内无无关文件,并修改各分类文件夹名至1-9\n\n一个可行的对应关系如下所示:\n\n财经 1 economy\n房产 2 realestate\n健康 3 health\n教育 4 education\n军事 5 military\n科技 6 technology\n体育 7 sports\n娱乐 8 entertainment\n证券 9 stock...
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[ [ [ "import nltk\nfrom nltk.stem import PorterStemmer\nfrom nltk.corpus import stopwords\nimport re", "_____no_output_____" ], [ "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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[ [ [ "# 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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[ [ [ "Create a list of valid Hindi literals", "_____no_output_____" ] ], [ [ "a = list(set(list(\"ऀँंःऄअआइईउऊऋऌऍऎएऐऑऒओऔकखगघङचछजझञटठडढणतथदधनऩपफबभमयरऱलळऴवशषसहऺऻ़ऽािीुूृॄॅॆेैॉॊोौ्ॎॏॐ॒॑॓॔ॕॖॗक़ख़ग़ज़ड़ढ़फ़य़ॠॡॢॣ।॥॰ॱॲॳॴॵॶॷॸॹॺॻॼॽॾॿ-\")))\n", "_____no_output_____" ], [ "len(gend...
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parse_results_with_visualization/Hyper_params_visualization.ipynb
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2020-11-03T18:02:15.000Z
2020-11-03T18:02:15.000Z
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HenryNebula/Personalization_Final_Project
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parse_results_with_visualization/Hyper_params_visualization.ipynb
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2020-06-05T18:32:02.000Z
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2021-07-30T20:53:53.000Z
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[ [ [ "import numpy as np\nimport pandas as pd", "_____no_output_____" ], [ "import matplotlib.pyplot as plt\nfrom matplotlib import style\nimport matplotlib.ticker as ticker\nimport seaborn as sns", "_____no_output_____" ], [ "from sklearn.datasets import load_boston...
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2019-07-17T09:57:41.000Z
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[ [ [ "# Stock Forecasting using Prophet (Uncertainty in the trend)", "_____no_output_____" ], [ "https://facebook.github.io/prophet/", "_____no_output_____" ] ], [ [ "# Libraries\n\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport ...
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[ [ [ "# Delfin", "_____no_output_____" ], [ "### Installation\nRun the following cell to install osiris-sdk.", "_____no_output_____" ] ], [ [ "!pip install osiris-sdk --upgrade", "_____no_output_____" ] ], [ [ "### Access to dataset\nThere...
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[ [ [ "# Apple Stock", "_____no_output_____" ], [ "### Introduction:\n\nWe are going to use Apple's stock price.\n\n\n### Step 1. Import the necessary libraries", "_____no_output_____" ] ], [ [ "import pandas as pd\nimport numpy as np\n\n# visualization\nimport ma...
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Colab RDP/Colab RDP.ipynb
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Colab RDP/Colab RDP.ipynb
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Colab RDP/Colab RDP.ipynb
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[ [ [ "<a href=\"https://colab.research.google.com/github/PradyumnaKrishna/Colab-Hacks/blob/RDP-v2/Colab%20RDP/Colab%20RDP.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>", "_____no_output_____" ], [ "# **Colab ...
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scanpy_cellphonedb.ipynb
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scanpy_cellphonedb.ipynb
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scanpy_cellphonedb.ipynb
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2021-02-03T16:25:06.000Z
2021-02-03T16:25:06.000Z
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[ [ [ "from IPython.core.display import display, HTML\ndisplay(HTML(\"<style>.container { width:90% !important; }</style>\"))\n%matplotlib inline\n\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as pl\nimport scanpy as sc\n\nimport cellphonedb as cphdb\n\n# Original API works for python ...
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isis/notebooks/crop_eis.ipynb
gknorman/ISIS3
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2018-01-18T00:16:24.000Z
2022-03-24T03:53:33.000Z
isis/notebooks/crop_eis.ipynb
gknorman/ISIS3
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2017-12-11T21:27:34.000Z
2022-03-31T21:45:20.000Z
isis/notebooks/crop_eis.ipynb
jessemapel/ISIS3
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2017-11-30T21:15:44.000Z
2022-03-23T10:22:29.000Z
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[ [ [ "from xml.dom import expatbuilder\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport struct\nimport os\n", "_____no_output_____" ], [ "# should be in the same directory as corresponding xml and csv\neis_filename = '/example/path/to/eis_image_file.dat'", "_____no_out...
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unsupervised ML crypto.ipynb
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unsupervised ML crypto.ipynb
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unsupervised ML crypto.ipynb
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[ [ [ "# Cryptocurrency Clusters", "_____no_output_____" ] ], [ [ "%matplotlib inline", "_____no_output_____" ], [ "#import dependencies\nfrom pathlib import Path\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.preprocessing...
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CTR Prediction/RS_Kaggle_Catboost.ipynb
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2021-08-23T19:15:43.000Z
2021-11-16T13:20:04.000Z
CTR Prediction/RS_Kaggle_Catboost.ipynb
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[ [ [ "Our best model - Catboost with learning rate of 0.7 and 180 iterations. Was trained on 10 files of the data with similar distribution of the feature user_target_recs (among the number of rows of each feature value). We received an auc of 0.845 on the kaggle leaderboard", "_____no_output_____" ...
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[ [ [ "# Random Search Algorithms", "_____no_output_____" ], [ "### Importing Necessary Libraries\n", "_____no_output_____" ] ], [ [ "import six\nimport sys\nsys.modules['sklearn.externals.six'] = six\nimport mlrose\nimport numpy as np\nimport pandas as pd\nimport...
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[ [ [ "%matplotlib inline", "_____no_output_____" ] ], [ [ "\nPerformance Tuning Guide\n*************************\n**Author**: `Szymon Migacz <https://github.com/szmigacz>`_\n\nPerformance Tuning Guide is a set of optimizations and best practices which can\naccelerate training and in...
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[ [ [ "import numpy as np", "_____no_output_____" ], [ "a = [1,2,3,5,7]\nb = np.tile(a,(10,1))\nb", "_____no_output_____" ] ] ]
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leetcode/78_subsets.ipynb
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leetcode/78_subsets.ipynb
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leetcode/78_subsets.ipynb
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[ [ [ "# 78. Subsets\n\n__Difficulty__: Medium\n[Link](https://leetcode.com/problems/subsets/)\n\nGiven an integer array `nums` of unique elements, return all possible subsets (the power set).\n\nThe solution set must not contain duplicate subsets. Return the solution in any order.\n\n__Example 1__:\n\nInpu...
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Matrix Factorization_PySpark/Matrix Factorization Recommendation_PySpark_solution.ipynb
abhisngh/Data-Science
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2020-05-29T20:07:49.000Z
2020-05-29T20:07:49.000Z
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[ [ [ "# Simple Flavor Mixing\n\nIllustrate very basic neutrino flavor mixing in supernova neutrinos using the `SimpleMixing` class in ASTERIA.", "_____no_output_____" ] ], [ [ "import numpy as np\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\nimport astropy.units as u...
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[ [ [ "# Chapter 8 - Applying Machine Learning To Sentiment Analysis", "_____no_output_____" ], [ "### Overview", "_____no_output_____" ], [ "- [Obtaining the IMDb movie review dataset](#Obtaining-the-IMDb-movie-review-dataset)\n- [Introducing the bag-of-words model](...
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[ [ [ "# MultiGroupDirectLiNGAM", "_____no_output_____" ], [ "## Import and settings\nIn this example, we need to import `numpy`, `pandas`, and `graphviz` in addition to `lingam`.", "_____no_output_____" ] ], [ [ "import numpy as np\nimport pandas as pd\nimport gr...
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[ [ [ "#@title Copyright 2020 Google LLC. Double-click here for license information.\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICEN...
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[ [ [ "## Analisis de O3 y SO2 arduair vs estacion universidad pontificia bolivariana\nSe compararon los resultados generados por el equipo arduair y la estacion de calidad de aire propiedad de la universidad pontificia bolivariana seccional bucaramanga\n\nCabe resaltar que durante la ejecucion de las prueb...
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[ [ [ "## Accessing TerraClimate data with the Planetary Computer STAC API\n\n[TerraClimate](http://www.climatologylab.org/terraclimate.html) is a dataset of monthly climate and climatic water balance for global terrestrial surfaces from 1958-2019. These data provide important inputs for ecological and hydr...
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[ [ [ "Copyright (c) Microsoft Corporation. All rights reserved.\n\nLicensed under the MIT License.", "_____no_output_____" ], [ "# Automated Machine Learning\n_**ディープラーンニングを利用したテキスト分類**_\n\n## Contents\n1. [事前準備](#1.-事前準備)\n1. [自動機械学習 Automated Machine Learning](2.-自動機械学習-Automated-Mach...
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[ [ [ "# IDS Instruction: Regression\n(Lisa Mannel)", "_____no_output_____" ], [ "## Simple linear regression", "_____no_output_____" ], [ "First we import the packages necessary fo this instruction:", "_____no_output_____" ] ], [ [ "import num...
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[ [ [ "## Как выложить бота на HEROKU\n\n*Подготовил Ян Пиле*", "_____no_output_____" ], [ "Сразу оговоримся, что мы на heroku выкладываем\n\n**echo-Бота в телеграме, написанного с помощью библиотеки [pyTelegramBotAPI](https://github.com/eternnoir/pyTelegramBotAPI)**.\n\nА взаимодействие...
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[ [ [ "## The Analysis of The Evolution of The Russian Comedy. Part 3.", "_____no_output_____" ], [ "In this analysis,we will explore evolution of the French five-act comedy in verse based on the following features:\n\n- The coefficient of dialogue vivacity;\n- The percentage of scenes w...
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[ [ [ "%matplotlib inline", "_____no_output_____" ] ], [ [ "\nNeural Networks\n===============\n\nNeural networks can be constructed using the ``torch.nn`` package.\n\nNow that you had a glimpse of ``autograd``, ``nn`` depends on\n``autograd`` to define models and differentiate them....
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[ [ [ "# Classifying Fashion-MNIST\n\nNow it's your turn to build and train a neural network. You'll be using the [Fashion-MNIST dataset](https://github.com/zalandoresearch/fashion-mnist), a drop-in replacement for the MNIST dataset. MNIST is actually quite trivial with neural networks where you can easily ...
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[ [ [ "-----------------\n### Please run the IPython Widget below. Using the checkboxes, you can:\n* Download the training, validation and test datasets\n* Extract all tarfiles\n* Create the necessary PyTorch files for the training/validation/test datasets. We create 1 file for each datanet sample, resultin...
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Coursera/Art and Science of Machine Learning/Improve model accuracy by hyperparameter tuning with AI Platform.ipynb
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[ [ [ "# Hyperparameter tuning with Cloud AI Platform", "_____no_output_____" ], [ "**Learning Objectives:**\n * Improve the accuracy of a model by hyperparameter tuning", "_____no_output_____" ] ], [ [ "import os\nPROJECT = 'qwiklabs-gcp-faf328caac1ef9a0' # REPL...
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2021-05-23T08:53:59.000Z
Course 2 - CNNs in Tensorflow/Exercise5_CatsDogs.ipynb
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Multi-armed Bandits.ipynb
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2018-12-25T18:51:58.000Z
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Multi-armed Bandits.ipynb
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Multi-armed Bandits.ipynb
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2019-06-17T06:52:51.000Z
2020-06-24T13:00:16.000Z
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[ [ [ "# Confidence interval and bias comparison in the multi-armed bandit\n# setting of https://arxiv.org/pdf/1507.08025.pdf\nimport numpy as np\nimport pandas as pd\nimport scipy.stats as stats\nimport time\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport seaborn as sns\nsns.set(style='white',...
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[ [ [ "# Convert old input card\n\n1. meta and experiment", "_____no_output_____" ] ], [ [ "from ruamel.yaml import YAML\nfrom cvm.utils import get_inp\nimport sys\n\nyaml = YAML()\nyaml.indent(mapping=4, sequence=4, offset=2)\nyaml.default_flow_style = None\nyaml.width = 120", ...
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[ [ [ "%matplotlib inline\nfrom d2l import torch as d2l\nimport torch", "_____no_output_____" ], [ "def init_adadelta_states(feature_dim):\n s_w, s_b = torch.zeros((feature_dim, 1)), torch.zeros(1)\n delta_w, delta_b = torch.zeros((feature_dim, 1)), torch.zeros(1)\n return ((s_w...
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[ [ [ "# Matrix\n\n> Marcos Duarte \n> Laboratory of Biomechanics and Motor Control ([http://demotu.org/](http://demotu.org/)) \n> Federal University of ABC, Brazil", "_____no_output_____" ], [ "A matrix is a square or rectangular array of numbers or symbols (termed elements), arranged...
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embedding_word_clusters2.ipynb
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embedding_word_clusters2.ipynb
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embedding_word_clusters2.ipynb
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DAY-12/DAY-12.ipynb
BhuvaneshHingal/LetsUpgrade-AI-ML
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2020-09-11T18:11:54.000Z
DAY-12/DAY-12.ipynb
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DAY-12/DAY-12.ipynb
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assignment2/ConvolutionalNetworks.ipynb
pranav-s/Stanford_CS234_CV_2017
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assignment2/ConvolutionalNetworks.ipynb
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assignment2/ConvolutionalNetworks.ipynb
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[ [ [ "# Convolutional Networks\n\nSo far we have worked with deep fully-connected networks, using them to explore different optimization strategies and network architectures. Fully-connected networks are a good testbed for experimentation because they are very computationally efficient, but in practice all...
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Experiment1_Main/Components/One25/one25.ipynb
ttrogers/frigo-chen-rogers
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Experiment1_Main/Components/One25/one25.ipynb
ttrogers/frigo-chen-rogers
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Experiment1_Main/Components/One25/one25.ipynb
ttrogers/frigo-chen-rogers
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[ [ [ "# Pre-processing and analysis for one-source with distance 25", "_____no_output_____" ], [ "## Load or create R scripts", "_____no_output_____" ] ], [ [ "get.data <- dget(\"get_data.r\") #script to read data files\nget.pars <- dget(\"get_pars.r\") #script t...
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Jupyter Notebook
Notes/KerasExercise.ipynb
GrayLand119/GLColabNotes
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[ "MIT" ]
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Notes/KerasExercise.ipynb
GrayLand119/GLColabNotes
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Notes/KerasExercise.ipynb
GrayLand119/GLColabNotes
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[ [ [ "# About\n\n此笔记包含了以下内容:\n\n* keras 的基本使用\n* 组合特征\n* 制作dataset\n* 模型的存取(2种方式)\n* 添加检查点\n", "_____no_output_____" ] ], [ [ "import tensorflow as tf\nfrom tensorflow.keras import layers\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport math", "_____no_output_____"...
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2016-12-02T09:20:42.000Z
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[ [ [ "# Advent of Code 2016", "_____no_output_____" ] ], [ [ "--- Day 1: No Time for a Taxicab ---\n\nSanta's sleigh uses a very high-precision clock to guide its movements, and the clock's oscillator is regulated by stars. Unfortunately, the stars have been stolen... by the Easter ...
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[ [ [ "import pandas as pd\nimport math\n\n\n\ndf=pd.read_csv(r\"C:\\Users\\MONSTER\\Desktop\\newyorkcoffeewithdetails.csv\",error_bad_lines=False)\n\ndistance_dict = {}\n\nlat_input=float(input(\"Latitude : \")) # User's latitude and longitude\nlon_input=float(input(\"longitude : \"))\n\n\nfor i in range(l...
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[ [ [ "# [Strings](https://docs.python.org/3/library/stdtypes.html#text-sequence-type-str)", "_____no_output_____" ] ], [ [ "my_string = 'Python is my favorite programming language!'", "_____no_output_____" ], [ "my_string", "_____no_output_____" ], ...
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