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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 # --- # ## Detecting Cultural Violence using Natural Languag...
Quantitative Analysis/.ipynb_checkpoints/1. Group Identifier-checkpoint.ipynb
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_notebooks/2021-11-29-RLlib_CartPole.ipynb
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Python random.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 from astropy.table import Tab...
asas-sn.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 os.chdir('../') from rsna_retro.imports imp...
03_train3d_experiments/03_train3d_04_train_appian_lstm_head_2ndPlace_meta.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 # --- # # Interacting with Python # # __Content modified und...
getting-started/01_interactions.ipynb
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AI for Medical Diagnosis/Week 3/AI4M_C1_W3_lecture_ex_02.ipynb
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resources/PESU-IO Slot 11 Deep Learning Course material/Week3_I_O.ipynb
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Clustering_Básico_k_means,_DBSCAN_e_mean_shift.ipynb
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database/notebook/2.NoSQL.ipynb
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tutorials/Certification_Trainings/Healthcare/1.5.Resume_MedicalNer_Model_Training.ipynb
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lesson02/.ipynb_checkpoints/example_hw_lesson02-checkpoint.ipynb
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contests/codecup6_machine_learning/webinar/tabular.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 scipy import stats import scipy import matplotlib...
mod-mat-financas-I-2019-1/Project_3/Project3_almost.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Pooling # # As we process images (or other data sources) we will eventually want to reduce the resolution of the images. After all, we typ...
book-d2l-en/chapter_convolutional-neural-networks/pooling.ipynb
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Python_Bot/algorithms/evolution/note_evolution.ipynb
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Chapter03/PMLB SE - Chapter 3.ipynb
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week08_autoencoders/autoencoders_torch.ipynb
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data structures/copy.ipynb
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RandomForest-RFECV-BreakStatus-Saskatoon-RandomizedSearch.ipynb
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sql/sesion1.ipynb
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rebound/rebound_official_examples/EccentricComets.ipynb
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nbs/dl2/selfmade/08_data_block.ipynb
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Week09/HW05/Homework05.ipynb
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colab_tutorials/3_Results.ipynb
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broken/nbgallery scraper.ipynb
# --- # jupyter: # jupytext: # formats: ipynb,py:light # notebook_metadata_filter: nbsphinx # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name...
docs/recipes/wham/ideal_ratio_mask.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 # --- # # Installation # --- # ## TLDR pip install --upgr...
docs/notebooks/installation.ipynb
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Example - Correlated Multivariate Dataset.ipynb
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1.Study/2. with computer/1.Math_code/5. Mathematics for Machine Learning/2. Linear Algebra_3. Matrix.ipynb
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src/Notebooks/IRISPyRunningProcesses.ipynb
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wordEmbedding_word2vec.ipynb
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Queue/Reverse and Sorting Queue.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # formats: ipynb,jl:hydrogen # text_representation: # extension: .jl # format_name: hydrogen # format_version: '1.3' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.8.0-DEV # language: julia # name: jul...
0005/Taylor and Fourier.ipynb
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Section_1_blaze.ipynb
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04-general_linear_model/linear_regression_notes.ipynb
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Logistic Regression Classifier.ipynb
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old/autoencoder_experiment.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 # --- # # Lecture 6.2: Naive Bayes & Decision Trees # # This...
week_6/6.2_naive_bayes_decision_trees/naive_bayes_decision_trees.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 # --- # # Analyzing Quantum Volume Errors # This notebook an...
examples/advanced/quantum_volume_errors.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 # --- # ## Expectation Reflection + Least Absolute Deviation...
20.01.1400_GridSearchCV/ER_LAD_30sets.ipynb
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tarefas/04_Passo_3.ipynb
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A2_DeepLearning/CIFAR10-Lab.ipynb
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notebooks/Inspect STEAD, INSTANCE and DiTing data.ipynb
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materials/week2/1_python_introduction.ipynb
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results/Experiment_with_bias_table.ipynb
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nteract-open-issues-pr-counts-by-repo.ipynb
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HW4/Homework_04_Enlik.ipynb
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2-autograd.ipynb
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site/ja/lattice/tutorials/premade_models.ipynb
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.ipynb_checkpoints/test-checkpoint.ipynb
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notebook/eda/dataset_distribution.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 # --- # # Regression Challenge # # Predicting the selling pr...
challenges/02 - Real Estate Regression Challenge.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 os import seaborn as sns im...
notebooks/stage1/Churn_OD_exploration_vinay.ipynb
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notebook/2020.03.31_cmappy_2.7.ipynb
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artificial-intelligence-with-python-ja-master/Chapter 14/perceptron_classifier.ipynb
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lessons/SoftwarePractices/OptimizeAndRefactor/OptimizeHolidayGifts/optimizing_code_holiday_gifts.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 # --- # # TPOT training # I have realized that TPOT takes a...
2-iter/tpot_train.ipynb
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01_algebra/modulo_II_polinomios/ejercicios/00-suma-resta.ipynb
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notebook/X.3.boxer.ipynb
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CAP379_Topics_in_Spatial_Science.ipynb
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demo_plot/plotnine-examples/examples/geom_density.ipynb
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cv/GoogLeNet/GoogLeNet.ipynb
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docs/notebooks/05_comparison.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 # --- # # December 2016: Advent of Code Solutions # # ## <NA...
ipynb/Advent of Code.ipynb
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code/technical-analysis_basics/chart-analysis.ipynb
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tutorials/06. Combine Multi-Fidelity Optimization.ipynb
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docs/example.ipynb
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Assignment2.ipynb
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datasets/CTC/sequential/TrainValDenoising_and_saveNPZ10.ipynb
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Mathematics/archived/Derivate Calculators.ipynb
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Modulo 5/main.ipynb
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Code/.ipynb_checkpoints/Query_and_Explore_data-checkpoint.ipynb
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RecommendSystem/.ipynb_checkpoints/3.sequence_modelling-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 (ipykernel) # language: python # name: python3 # --- # # CSV file with JSON columns # # This no...
csv-json-expansion.ipynb
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protocol.ipynb
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Exercicio06.ipynb
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PythonBasics-Objects&Classes.ipynb
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Notebooks/Session 4 Regularization/S4-Learning Curves, Regularization and Cross Validation.ipynb
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Mahfuzur_Rahman_Step_1_4e_Pandas_Data_Visualization.ipynb
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Allinone py/Array.ipynb
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arrays_strings/compress/compress_challenge.ipynb
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2_Curso/Laboratorio/SAGE-noteb/IPYNB/IPYNB-mios/Ejercicios semana 12 de marzo - Alejandro Santorum.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. Read the Dataset¶ # # # 1.1 File Info. # * 문서 ...
DSES_2nd_review/19-05-11_lecturenote.ipynb
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.ipynb_checkpoints/S1_C_Py_progfunctions-checkpoint.ipynb
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cpd4.0/notebooks/python_sdk/experiments/deep_learning/Use PyTorch to recognize hand-written digits.ipynb
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Testing_under_sampling.ipynb
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employee data analysis.ipynb
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Experiment 2 - Adding Discontinuity 1.ipynb
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crackingcode/day13/cc_tf_day13_1.ipynb
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slides/2022-01-19-conditioning.ipynb
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building_custom_dictionaries.ipynb
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More Python Data Tools - Microsoft/02.Query a pandas DataFrame.ipynb
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TestingNotebook.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 # --- # # Outliers and Their Influence on the Fi...
docs/build/doctrees/nbsphinx/tutorials/Outliers and Their Influence on the Final Model (Intermediate).ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Logging and Messages # # `Parameterized` objects provide methods for displaying messages, warnings, and other output in a way that can be ...
examples/user_guide/Logging_and_Messages.ipynb
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notebooks/deep_learning/raw/tut3_programming_tf_and_keras.ipynb
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src/sparse_alignments/plot.ipynb
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Load text.ipynb
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OLS.ipynb