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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + pycharm={"is_executing": false} import pandas as p...
class2_retrieve/select_list_slice_loc_iloc_sort.ipynb
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data_analysis/ibex_readout_python/feedback_reader.ipynb
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module4-logistic-regression/LS_DS_214_assignment.ipynb
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DAY 9 ASSIGNMENT.ipynb
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main/nbs/poc/matplot_tutorial.ipynb
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ipython/i_basic/05_stratified_k-fold.ipynb
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nbs/15d_tensor_gather.ipynb
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Kata 2/Kata 2.ipynb
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imaging/ml_codelab/breast_density_cloud_ml.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Phase 4 Code Challenge Review: PCA and NLP from s...
Phase_4/phase_4_review/index.ipynb
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Model Testing.ipynb
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BIG_GAME - Hackerearth/4. VotingClassifier.ipynb
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BayesLasso.ipynb
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logistic_regression/early_stopping/plots_consistent.ipynb
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slides/handson-ml2-07b.ipynb
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pose_classification/cnn_lstm_mist.ipynb
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Dataset/COVIDx-generate.ipynb
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2-Basical_Models/Logistic_Regression.ipynb
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Segmentation.ipynb
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Day6/NumpyBasic_2.ipynb
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NeuralNetworkModels.ipynb
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01_Getting_&_Knowing_Your_Data/Chipotle/Exercises.ipynb
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cifar10/code/1.3.Train_Spot_Checkpoint.ipynb
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imagetopencil.ipynb
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07_train/02_Train_Reviews_BERT_Transformers_TensorFlow_ScriptMode.ipynb
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scripts/discourse1279.ipynb
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POI_MUC+PA/work_on_compare.ipynb
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quanundrum/simpleExamples/simple example II.ipynb
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doc/crystal_map.ipynb
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notebooks/rf_experiment_8.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 탑-k 방법 # # 탑-k 방법은 모델의 결과를 조사하는 유용한 방법입니다. 단순하게 **...
notebooks/top_k.ipynb
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web_services/index.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np import string i...
notebooks/1.1-cw-another-cleansing.ipynb
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site/ja/guide/upgrade.ipynb
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stackoverflowDeveloper.ipynb
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doc/notebooks/demo.ipynb
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examples/Data Drift Detection.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Tensorflow and Machine Learning # Today we will be...
Week05/Recitation/tflowex.ipynb
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magnolia/sandbox/frequency-ica/.ipynb_checkpoints/freqICA-checkpoint.ipynb
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code/ARAX/Examples/ARAX_Example2.ipynb
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source/jupyter/special_terms_replaced_to_empty_haddad/explore_data.ipynb
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Copy_of_WGAN_GP.ipynb
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2020_Nooksack_Lapse_Rate_Figures20200508.ipynb
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examples/Multi-regional Energy System Workflow/Multi-regional Energy System Workflow.ipynb
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python3/notebooks/Pandas_Scikit_Decision_Tree.ipynb
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notebooks/hist.ipynb
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The Sparks Foundation Task 2.ipynb
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pipelines/2_urls/urls_analysis.ipynb
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Coursera/Applied Data Science with Python Specialization/Python text mining/Spam detector.ipynb
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model/CNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- from collections import Counter # + def count_words(text): #counts word frequency skips = [".", ", ", ":", ";", "'", '...
count_words.ipynb
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notebooks/GrandPrix_reinforce_keras.ipynb
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notebooks/from_sympy.ipynb
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Chapter_5_The_mechanics_of_learning.ipynb
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source/examples/basics/geocoding/geocoding_geometries_map_nigeria.ipynb
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chapter3/program3-6.ipynb
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plant-check-ai.ipynb
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colab_notebooks/knn_demo_colab-0.8.ipynb
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MI3_chart/chart_summerize.ipynb
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test-a-perceptual-phenomenon-stroop-effect/stroop-effect.ipynb
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data_conversion.ipynb
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examples/rz_geometry/.ipynb_checkpoints/gyro-motion-rz-checkpoint.ipynb
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Rock_Paper_Scissors_Classification.ipynb
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Bengali_Abstractive_Text_Summarization_Using_Deep_Learning.ipynb
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08. Data Visualization - Matplotlib/8.1 intro_to_matplotlib.ipynb
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SSL Count by Latest Residential Police District.ipynb
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notebooks/02_explore_patients.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Lactate Discordance Project: Exploratory Analysis...
lactate-v-apache_eICU.ipynb
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Victor/Day6.ipynb
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tutorials/7 - Graph Distances.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # **This notebook is an exercise in the [Intermediate ...
ml2-categorical-variables.ipynb
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Evaluation and Validation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] deletable=true editable=true # # Text #...
text.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Kosh Environment # language: python # name: kosh # --- # # Working With datasets # # This tutorial is a ...
examples/Example_03_Working_with_Datasets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## 1. Import Library from sklearn.model_selection i...
_posts/ithome/2020-12th-ironman/29.DNN(分類器)/.ipynb_checkpoints/3.1-MNIST-DNN(2)-checkpoint.ipynb
# + # Copyright 2010-2018 Google LLC # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
examples/notebook/sat/ranking_sample_sat.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R [conda env:SIPSim_py3] # language: R # name: conda-env-SIPSim_py3-r # --- # ## Lueders et al., 2004 (ba...
ipynb/bac_genome/emperical_SIP_validation/Lueders2004_pt2.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Calculating Moving Averages # load necessary data...
moving_means.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from time import time import cffi import numpy as...
zynq/jupyter/classifier_1.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: conda_pytorch_p36 # language: python # name: conda_pytorch_p36 # --- # # fastai: lesson 1 - Pets example...
advanced_functionality/fastai_oxford_pets/fastai_lesson1_sagemaker_example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="pMQW-UrvfpQR" from google.colab import auth auth.authenticate_user() ...
Visualization/GenreHierarchyVisualization.ipynb
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11_stream/06_Create_Lambda_Destination_SNS.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %matplotlib inline # # Source alignment and coordin...
0.16/_downloads/plot_source_alignment.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: RecSys # language: python # name: recsys # --- # + [markdown] id="xqiEVosSgCYV" # # CF Part 4 - SVD meth...
_notebooks/2021-06-23-collaborative-filtering-movielens-latest-small-04.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # scRFE Starter Code # 2020-04-25 # Imports impor...
scripts/practiceScripts/scRFE_starter_codeV1.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Assignment 2 # # **<NAME>** # # The purpose of thi...
Assignment 2/singhal_1003599448_assignment2.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Naive_Baye's_Classification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import matplotlib.pyplot as plt # ...
Scripts/.ipynb_checkpoints/Untitled-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import matplotlib.pyplot as plt from matplotlib im...
Time series data.ipynb
# --- # jupyter: # jupytext: # split_at_heading: true # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:fastdev] # language: python # name: conda-env-fastdev-py #...
nbs/32_text.models.awdlstm.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Grid-Search import numpy as np from sklearn impor...
ML-Base-MOOC/chapt-2 KNN/05-Grid-Search.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Riddler League Baseball, also known as the RLB, cons...
19_9_27/538 9-27-19 Baseball Game.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] papermill={"duration": 0.021118, "end_t...
fx_carry.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 1A.algo - Décoder du Morse sans espaces # # Le cod...
_doc/notebooks/1a/exercice_morse.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # # Add contraints to mvpolyfit # # <center>Given test...
issues/open/issue2_add_constraints_to_mvpolyfit.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: FEMexperiment_env # language: python3 # name: femexperiment_env # --- # ## setup...
codes/tutorial/2D_FEM_problem_discretization.ipynb
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Linear_Transformation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from sklearn.learning_curve import learning_curve fro...
notebook/sk9_cross_validation2.ipynb
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notebooks/features/lightgbm/LightGBM - Overview.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Visually comparing layer models # # This notebook ...
examples/06_compare_layermodels.ipynb