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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 # --- # + import pandas as pd import numpy as np import praw...
Jupyter_Notebooks/The Attempts/data_collection3.ipynb
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notebooks/01_Beginners_guide/02_DEA.ipynb
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tutoriais/notebook_googlenews_sheets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- from addit.dit import rundit, runditfold, ...
snippets/test/DIT folded voigt.ipynb
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Classification/Clustering/DBClustering_QSAR.ipynb
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Modules/Module-4-Separation-II/4.11 - Practice Problem 2.ipynb
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_notebooks/2020-10-27-Twitter-scraping-at-scale.ipynb
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Guia_1/Problema_5/Indent_star.ipynb
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homework/hw1-questions.ipynb
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2020_week_2/Taylor_problem_5.36_atan2.ipynb
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notebooks/getting_started.ipynb
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codes/ml/deploy_mc.ipynb
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concepts/PCA/a_mathematical_discussion_of_pca.ipynb
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NLP/NLP - Harry Potter Generator.ipynb
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olhcv/data_scraper.ipynb
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model_training_notebook.ipynb
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JupyterNotebookFile/.ipynb_checkpoints/LTS_DXYArea-checkpoint.ipynb
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8-Labs/Z-Fall2021/Lab15/Lab15.ipynb
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transformers_ner.ipynb
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Notebooks/01_Python_Datatypes.ipynb
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notebooks/trunk/cosmology.ipynb
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NLP/cos_similarity.ipynb
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notebooks/summer-school/2021/lec4.1.ipynb
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Tutorials/Day-04/.ipynb_checkpoints/Nyquist Frequency Demo-checkpoint.ipynb
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Elo Merchant Category Recommendation/code/BaseLine_New.ipynb
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Intro/Clase6/.ipynb_checkpoints/FuncionesORG-checkpoint.ipynb
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5-Clustering/1-Visualize/solution/notebook.ipynb
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CRNN_log.ipynb
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03RNN/00word_embedding.ipynb
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Wiskunde/GrafiekenFuncties/1000_Parabool.ipynb
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Data_Engineering/NLP Pipelines/.ipynb_checkpoints/cleaning_solution-checkpoint.ipynb
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templates/2.) Create data pipeline.ipynb
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Merge Datasets.ipynb
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trainingTool.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 # --- # # Modules # %pylab --no-import-all inline #import E...
Python/Spielwiese.ipynb
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Unicode.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 # --- # # Capstone Project - The Battle of Neighbourhoods (P...
Week4/Capstone Project - The Battle of Neighborhoods - Business Proposal.ipynb
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nb_dev_python/baselines_PPO_cartpole.ipynb
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2-5 Applied Plotting, Charting & Data Representation in Python/Assignment2.ipynb
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notebooks/Data Exploration.ipynb
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lessons/06_Lesson06_Assignment.ipynb
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fastbook/clean/11_midlevel_data.ipynb
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examples/parse_parsepipeline.ipynb
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PY0101EN-0-0-Variables, assignment and operator precedence.ipynb
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notebooks/jason/.ipynb_checkpoints/0_data_preprocessing-checkpoint.ipynb
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01-Lesson-Plans/19-Supervised-Machine-Learning/2/Activities/07-Ins_ROC-Curves/Solved/Ins_ROC-Curve.ipynb
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examples/wellproductivity/2a-gas_productivity_index.ipynb
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output/05_EPIC_annotation_cDMR.ipynb
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src/python/tensorflow_cloud/tuner/tests/examples/ai_platform_vizier_tuner.ipynb
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Mission_to_Mars.ipynb
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BUILD_PROJECT.ipynb
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examples/Prepare Post-processing Data.ipynb
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notebooks/billy.ipynb
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notebooks/dask-dc-load.ipynb
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tests/lpr-analysis.ipynb
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Jigsaw-toxic-comment-classification_LSTM_ATTENTION.ipynb
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solutions/solutions_machine_learning.ipynb
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jane_w4__ip.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 # --- # # Advanced Jupyter # --- # At JupyterCon, I learne...
notebooks/2-Jupyter/Advanced_jupyter.ipynb
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notebooks/Retail/04_Operations_Layer.ipynb
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practical-data-science-specialization/course-1-analyze-datasets-and-train-models-using-automl/week-1-explore-use-case-and-analyze-dataset/register_and_visualize_dataset.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 # --- # # Tutorial 10: Custom Controllers # # This tutorial ...
tutorials/tutorial10_controllers.ipynb
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src/master/ch01-concept.ipynb
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ETL-Examples/src/main/python/pyspark-sql-examples/spark_join_and_aggregation_retail.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: spage2vec # language: python # name: python3 # --- # # TissUUmaps Jupyter integration with Spage2vec #...
examples/spage2vec_TM.ipynb
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notebooks/pYPKa_Z_TEF1.ipynb
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astr-119-session-7/astr-119-hw-3.ipynb
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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 # --- # # Introduction to `geopandas` # --- # ### <font colo...
Lab10/Lab 10 - Geopandas.ipynb
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Chapter03/Chapter3.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # + from sklearn.metrics import mean_squared_error as MSE import matplotlib.pyplot as plt from sklearn.feature_extraction import DictVectorize...
data/notebooks/airbnb_test.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] id="view-in-github" colab_type="text" #...
module1-statistics-probability-and-inference/Xander_Bennett_DS7_LS_DS_131_Statistics_Probability_Assignment.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 # --- # ![Self Check Exercises check mark image](files/art/c...
examples/ch12/snippets_ipynb/12_06selfcheck.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 # # # Rhythmic Entrainment Sourc...
examples/example_ress.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 # --- # + ## Python package imports import numpy as np impor...
development/kv_beam_expansion.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 re from collections import Counter def wor...
Spell_checker_model.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 # --- # <div style="width: 100%; overflow: hidden;"> # <...
5. Simple Network.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 # --- # ## Seq2Seq based Q&A # # based on bAbl tasks datase...
module_7_seq2seq/seq2seq.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 # --- # # Load model # + from sklearn.externals import jobl...
datafun/url_clf/app.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 # --- # ## Coding Exercise #0705a # ### 1. Tensor Board - P...
SIC_AI_Coding_Exercises/SIC_AI_Chapter_08_Coding_Exercises/ex_0705a.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 # --- # # Iterative Quantum Phase Estimation Algorithm # # T...
tutorials/algorithms/09_IQPE.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 # --- # ## Neccesary Imports import numpy as np import pand...
chest_xray_challenge/EDA.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 # --- # # Algoritmo para resolver sudoku usando backtrack #...
EDyA_I/theme_2/code/algoritmos/Sudoku Backtrack.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 # --- # !pip install tensorflow==2.2.0-rc2 # !pip install te...
University of Liverpool - Ion Switching/model/senetunet-fold0.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 # --- # Data format conversion for MLSTM-FCN # === # # # ---...
Baselines/mtsc_mlstm_fcn/mtsc_mlstm_fcn_TimeTest.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 # --- # **Notebook Outline:** # # - [Setup with librari...
Notebooks/.ipynb_checkpoints/Binomial_MGWR_MonteCarlo_Results-checkpoint.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .scala // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Scala // language: scala // name: scala // --- // + [markdown] colab_type="text" id="view-i...
running_scala_in_colab.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. Drop # # ### 2. Loc # # ### 3. iLoc import p...
4_Drop_LOC_ILOC.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] slideshow={"slide_type": "slide"} # # H...
ttmda/hadoop/[MapReduce] 03 - Hadoop.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (Reflexer) # language: python # name: python-reflexer # --- # # Exogenous Process modeling # # #...
notebooks/Stochastic_Generators/Ohm_Exogenous_Process_Modeling.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 # --- # <img src="images/usm.jpg" width="480" height="240" a...
labs/lab_05.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 # --- # # GPT batch runner; OLCI L1 to L2 (C2RCC & IdePix) ...
GPT/GPT_batch_runner_C2RCC_IdePix.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 # --- # # Playing around with signal classes # # Here we are...
example_notebooks/Signals.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: graspy # language: python # name: graspy # --- # ## Objective # Remove the signal that explains $Y$ in $...
Experiments/20181114/Regression.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # + # You are given a string s that contains some variables, along with a lookup table that contains key-value pairs. # For example, in the st...
people_ai.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.6.13 64-bit (''stewart_py2'': conda)' # language: python # name: python3 # --- # # Using a Ste...
02_Stewart_Py_Controller - Test Datapoints.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 # --- # # Option pricing # --- # <style> # table { # margin:...
notebooks/.ipynb_checkpoints/option_pricing-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 # --- # # Models import re import unicodedata import numpy ...
notebooks/models.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 # --- # # VAE for MNIST # # The purpose of this demo is to...
vae.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 gmaps import pandas as pd import numpy as np d...
GMaps/CTA-GMaps.ipynb