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5kb_DNA_analysis/single_fov/20201002_updated_single_fov_IgH_batch1_proB_dox+_2color_Franklin.ipynb
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_posts/test_project3.ipynb
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_doc/notebooks/cheat_sheets/image_features.ipynb
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docs/sources/user_guide/nlp/Text Helper Functions.ipynb
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GetTestingData.ipynb
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notebooks/classifier.ipynb
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lessons/11-webapis/WMC3-More-API-Examples.ipynb
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Bagian 4 - Fundamental Pandas/3. Indexing Time Series.ipynb
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1_mosaic_data_attention_experiments/3_stage_wise_training/alternate_minimization/effect on interpretability/blob_with_sparse_regulariser/10runs_entropy_005_simultaneous.ipynb
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PS1casjobs/DEIMOS_COSMOS.ipynb
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code/Exp_new.ipynb
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0022/deepcopty.ipynb
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Data-Science-HYD-2k19/Day-based/Day 48.ipynb
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Screener.ipynb
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code/experiments/plot-correlations-priormdp.ipynb
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Network Processing Notebooks/InBioMap Processing.ipynb
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nbs/02_architecture_common.ipynb
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nlp-with-python/advanced_ nlp tasks with spacy.ipynb
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QM_IntroJulia.ipynb
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voiceTranslation_withWatson.ipynb
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Loop_Statement.ipynb
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03_keras/06_save_load_model.ipynb
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Ejercitacion/practica2/Untitled.ipynb
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docs/memo/notebooks/lectures/Factor_Based_Risk_Management/notebook.ipynb
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FADL1/vgg16_lesson1.ipynb
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web_crawler/playbook_scrap.ipynb
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01-Lesson-Plans/12-Web-Scraping-and-Document-Databases/2/Activities/05-Ins_MongoScraping/Solved/Ins_MongoScraping.ipynb
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griffin_lim_synthesis_tool.ipynb
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analysis/.ipynb_checkpoints/energyConservation-checkpoint.ipynb
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tutorials/W3D2_HiddenDynamics/student/W3D2_Tutorial3.ipynb
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code/bootstrapping.ipynb
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data/eda_code/EDA1.ipynb
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train_top_b.ipynb
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MNIST/Atelier-pyspark-MNIST.ipynb
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IllinoisGRMHD/doc/Tutorial-IllinoisGRMHD__Lorenz_psi6phi_rhs__add_gauge_terms_to_A_i_rhs.ipynb
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python-arboles-de-decision-002.ipynb
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Preprocess.ipynb
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20-KafkaProducer.ipynb
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tools/jupyter/example.ipynb
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P3 wrangle_data/.ipynb_checkpoints/DataWrangling_ganga-checkpoint.ipynb
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code/algorithms/course_udemy_1/Linked Lists/Problems - PRACTICE/Linked List Reversal .ipynb
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for_tasks_solved.ipynb
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_site/lectures/Week 06 - Web Scraping/01. Introduction to Web Scraping.ipynb
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EP2/analysis_functions.ipynb
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jupyter_notebooks/procesamiento_datos_ecobici.ipynb
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lessons/exercises/Exercises-Factor-Graphs.ipynb
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Chapter02/2.08 Training an Robot to Walk.ipynb
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AI502/ResNet/main2.ipynb
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ROP.ipynb
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example_2d.ipynb
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cfb-drive-pbp-analysis.ipynb
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docs/notebooks/creating_new_tests.ipynb
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test_code/Q2_31_Sense_and_Move_2.ipynb
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examples/_debug/SQL_client.ipynb
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ChaHao.ipynb
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surveys/2018-09-jupytercon-2018/jupyterlab_test/jupyterlab-test.ipynb
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Experiments/Guangzhou_TRMF.ipynb
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anscombes.ipynb
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work/COVIDvu-US.ipynb
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DiseasePredictior/plant-disease-detection-using-keras (1).ipynb
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Heart Disease Prediction/Heart Disease Prediction.ipynb
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final_project/moma_scrape_exploration.ipynb
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toSQL.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .sh # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Bash # language: bash # name: bash # --- # <div id="body"> # <center> # ...
09 Git Tips.ipynb
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7)NO BROKER.ipynb
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src/notebooks/frac_diff.ipynb
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Train Test.ipynb
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lessons/10_Lesson10_sourcePanelMethod.ipynb
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Explore-US-Bikeshare-Data/Bike_Share_Analysis.ipynb
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jupyterNotebooks/Prediction.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 # --- for sample in range(23): maps = Maps(plateifu=plat...
bpt.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 # --- # # Monte Carlo simulation for Coefficient 2 # # # + ...
notebooks/TEST_MonteCarlo_Coefficient_2.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 # --- import catboost import numpy as np import pandas as pd...
catboost/tutorials/model_analysis/feature_statistics_tutorial.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 MLP_v5 from sklearn.model_se...
MLP_v5 with Pima Indian Dataset.ipynb
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examples/colab/build_personalized_ai_hr_models.ipynb
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Entregable_Parte_1.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 # ### Zhiqi: I renamed your file...
src/zhiqi.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 Lane Finding Project # # The goals / ste...
Untitled.ipynb
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analysis/Market Prices and Net Asset Value.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [default] # language: python # name: python3 # --- # # Network Topology # # This notebook contain...
network_topology.ipynb
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notebooks/clean_realtor_ca_data.ipynb
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notebooks/bic.ipynb
# + [markdown] colab_type="text" id="1Pi_B2cvdBiW" # ##### Copyright 2018 The TF-Agents Authors. # + [markdown] colab_type="text" id="f5926O3VkG_p" # ### Get Started # <table class="tfo-notebook-buttons" align="left"> # <td> # <a target="_blank" href="https://colab.research.google.com/github/tensorflow/agents/bl...
tf_agents/colabs/policies_tutorial.ipynb
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Seq2seq_model_keras_character-level.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 # --- # # Shelve # - Simple key-value database # - Useful if...
notebooks/shelve.ipynb
# --- # jupyter: # jupytext: # cell_metadata_filter: -all # 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 # --- # # Heat ...
plot-district-heating-viability/README.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 from GEOSNAP2NAM import Aspatial_C...
Categorical_Data_Vis/.ipynb_checkpoints/GEOSNAP2NAM1-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 # --- # + # load libraries import numpy as np import pandas...
projects/predictions/ml_python_onehotencoding_1.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 # --- # ## 2021년 6월 7일 월요일 # ### Programmers - 2개 이하로 다른 비트 ...
DAY 301 ~ 400/DAY388_[Programmers] 2개 이하로 다른 비트 (Python).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 pickle import nltk files = ["bhairav", "dh...
feature_extraction/punctuation_frequencies.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] colab_type="text" id="Jxv6goXm7oGF" # ##### Copyright 2018 The...
site/ko/guide/autograph.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 # --- # ## Libraries # + # %matplotlib inline import matplo...
group_files/cpompa/notebooks/4-nba-ml-multi-linear-regression.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 # --- # Trains a simple deep NN on the IRIS dataset. # # im...
6.KerasBasic/MLP_iris/MLP_iris.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 os # + from pathlib import Path class Display...
make-project-tree.ipynb
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notebooks/3b_model_scoring_evaluation.ipynb
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notebook/2020.01.27_converging-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 # --- # # Premier League Prediction using Machine Learning ...
Working of PL_Prediciton_using_ML/Premier_League_Table_Prediction.ipynb
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lecture11_numpy_contd/Lecture11-demos.ipynb
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src/Basic_knowledge/learn_TensorFlow2.0/tensor.ipynb
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Project 5 - Disaster Response Pipeline/ML Pipeline Preparation.ipynb