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# # Russian language dataset
f... | corpus/corpus.ipynb |
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# # ICESat-2 ATLAS $K_{d532}$ Tutorial
# <img src="ICE... | Kd532_Tutorial.ipynb |
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imp... | notebooks/Exo_Preprocessing.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | docs/source/Simulation/Exercises/Sales commissions forecast.ipynb |
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# <div style="width:1000 px">
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# <div style="float:ri... | failing_notebooks/Siphon Radar Server.ipynb |
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# Plot Antarctic Tide Range
# ========================... | notebooks/Plot Antarctic Tide Range.ipynb |
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#bibliotecas em uso ou usadas em algúm momento
import ... | run.ipynb |
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import numpy as np
##############################... | study/mathematics-for-ml/datablocklab/class-01/save_data_1d.ipynb |
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# + id="wR6tDD-PUFgt" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |
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# ### 1. Escribe una función que reciba como parámetro... | Soluciones/1. Python_Basico/3. Soluciones.ipynb |
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# # Adding records
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# The `addRecord()` method create... | notebooks/senzing-addRecord.ipynb |
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import pandas as pd
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import matplotl... | Case 5.ipynb |
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library(bnlea... | notebooks/old4_small_network.ipynb |
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# # Coverage summary
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import hypothesis
import num... | experiments/experiment-inference/out/summary-coverage.ipynb |
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# # How to use topic model by gensim
#
# This document... | topic_model_evaluation.ipynb |
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# # 3.3～3.6 ネットワークモデルの作成
#
# - 本ファイルでは、PSPNetのネットワークモデ... | 30_semantic_segmentation/3-3-6_NetworkModel.ipynb |
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# <a href="https://colab... | templates/_template_module.ipynb |
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# https://www.hackerrank.com/challenges/exceptions/pro... | 09 -Errors and Exceptions/01 - Exceptions.ipynb |
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# + [markdown] id="YfmfqwuA... | 2-supervised-clf/2-bank-credit-data-wrangling-and-classification.ipynb |
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# # Task 13 – Neural nets II
#
# _All credit for the c... | solutions/task_13_neural_nets_ii.ipynb |
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# # Derivatives, Partial Derivatives and Gradient Desc... | site/public/courses/QL-1.1/Notebooks/Calculus/derivatives_partial_derivatives_and_gradient_descent.ipynb |
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class HashTable:
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import re, string... | Sentiment_Analysis/Data_Sentiment_analysis.ipynb |
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# %load_ext autoreload
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import ... | notebooks/use-snur-data.ipynb |
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# <h1 align="center">Session 2 </h1>
# <h2 align="cent... | Python-Session/Submissions/Sukritee.ipynb |
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# <a href="https://colab... | Female Previous Experiments/emotion_recognition_19_female_198values.ipynb |
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# Let printing work the same in Python 2 and 3
from __... | 99-Miscel/AnatomyOfMatplotlib-master/AnatomyOfMatplotlib-Part0-Intro2NumPy.ipynb |
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# # Ordinary Differential Equations
# **Learning Obje... | days/day13/ODEs.ipynb |
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# !pip install psycopg2-binary
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# + [markdown] papermill={"duration": 0.016304, "end_t... | component-library/transform/spark-condense-parquet.ipynb |
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import pandas as pd
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import seab... | seattle/01_parse_seatle_land_assesment_records.ipynb |
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# # Introduction
#
# Geographic information systems u... | Rasterio.ipynb |
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#hide
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# %autore... | notebooks/index.ipynb |
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# ### Importing the libraries required
import joblib
... | dumping the models.ipynb |
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import pandas as pd
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import seab... | notebooks/LR_analysis_PAK_Shadi.ipynb |
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# + [markdown] colab_type="text" id="v5Fj... | homeworks_basic/homework1_Linclass_kNN/HW1_kNN_and_Logistic_regression.ipynb |
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# <img src='http://pangeo.io/_images/small_e_l... | 1.0 Introduction/1.0.0 Welcome to Pangeo.ipynb |
# -*- coding: utf-8 -*-
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# # Tablas de contingencia
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datos <-c('D','F... | contenido/Tablas de contingencia.ipynb |
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from sklearn.model_selection impor... | [Dacon] 2010-psyco/Untitled.ipynb |
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# # Creating the CandidateGraph Object
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import os... | docs/users/tutorials/apollopan/1. Creating the CandidateGraph Object.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | estudos_python/Machine_Learning/Others/3. ST Academy - Decision Trees resource files/Python Code/Classification tree.ipynb |
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from functools import ... | 00_basic/map_reduce.ipynb |
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# # Student Alcohol Consumption
# ### Introduc... | 04_Apply/Students_Alcohol_Consumption/Exercises.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | _notebooks/2021-09-25-PythonMachine5_2.ipynb |
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df = pd.DataFrame()... | notebooks/mytest.ipynb |
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# + [markdown] id="rBXrqlGEYA8G"
# Create an empty list. Accept 10 numbers from the u... | Day2 Assignment.ipynb |
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# ## 数据处理
import pandas as pd
import numpy as np
impo... | ch05.ipynb |
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import pandas as pd
file_mit_test = 'mitbih_test.c... | simple_ml/ECG_AccurateModels.ipynb |
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# %matplotlib inline
happiness... | 2.4 Data Cleaning and Analysis/Transforming data with pandas.ipynb |
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# ## Players who scored Test 100s most frequently
# Qu... | innings_per_test_hundred.ipynb |
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print('hello world"')
import pandas a... | Python-Sample-ML.ipynb |
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# #### Predizioni e Con... | confusion_matrix_lightgbm_tuned.ipynb |
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# # 1.2 Tensorflow operations
import tensorflow as tf... | deeplearning/tensorflow/dl_python_tensorflow_1.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Telecom_Churn_Prediction/Kaggle Kernel_RandomForest_SVMPrediction-Telecom Churn Prediction.ipynb |
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# + [markdown] id="s_8txBLwr8GD"
# This Colab uses the [BC3: British Columbia... | Training_Data_for_Signature_Extraction.ipynb |
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# # Training Script
# Directio... | train_kana_to_alpha.ipynb |
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# # Generate air traffic heatmap from so6 file... | air-traffic-heatmap.ipynb |
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import pandas as pd
from pathlib import Path
from... | notebooks/testing_RF_300.ipynb |
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# # Supplier Selection Methods - Using the `mcdm_funct... | Supplier Selection Methods - Using the mcdm_functions Module.ipynb |
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import bqplot
import json
import numpy as np
import pa... | week09/_examples_week10.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | face_gan.ipynb |
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import matplotlib.pyplot as plt
#... | Jupyter Notebooks/Code_Fig_23.17.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# # Metha... | PAT MeOH Syn_adiabat_mit_Rueckfuehrung.ipynb |
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# + [markdown] id="b1TP5UYsBmuN" colab_type="text"
# # **Optimización - Activ... | Convexity/OPT_HW3.ipynb |
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# <a href="https://colab... | notebooks/phase_diagram.ipynb |
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from collections import defaultdict
import math
im... | HALEM Notebooks/Graduation Notebooks/Results2/09_Zuno_real_data/01_Generate_Roadmap_input.ipynb |
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# # College Scorecard Analysis
# **<NAME>** <br/>
# ... | Final_Project_Report.ipynb |
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# + id="r6yULRp1BnuO" outputId="b8de5ffd-694f-4281-9407-eec5f66e0376" colab={... | Bert_Model.ipynb |
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# + [markdown] nbgrader={}
# # Interact Exercise 2
# ... | assignments/assignment05/InteractEx02.ipynb |
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# # analyze_metadata_table
#
# This notebook builds on... | jupyter_notebooks/.ipynb_checkpoints/analyze_metadata_table-checkpoint.ipynb |
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# # Workfunction of hcp (0001) surfac... | notebooks/hcp_workfunction.ipynb |
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# # VarAnneal Tutorial
# ## Introduction
# VarAnneal ... | examples/jupyter-tutorial/VarAnneal_tutorial.ipynb |
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# + [markdown] origin_pos=0
# # Densely Connected Networks (DenseNet)
#
# ResNet significantly changed the view of how to parametrize the func... | d2l-en/mxnet/chapter_convolutional-modern/densenet.ipynb |
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# # Decison Trees
# First we'll load some fake data o... | ML Course/DecisionTree.ipynb |
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# cd "c:/Users/yo_fanpc/Documents/dev/api_... | nbs/Working with Cassandra & Pydantic.ipynb |
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# # Analyses of the Hofree et al. original datasets
#... | lib/python/stratipy/tutorials/HofreeDataset.ipynb |
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# <a href="https://colab... | 4_FashionMNIST.ipynb |
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# %matplotlib inline
import numpy as np
import pan... | notebooks/discover_brawl.ipynb |
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# # Tips and Tricks
# This user guide contains an assorted collection of tips and tricks for minor features that don't have a suitable place ... | examples/user_guide/Tips_and_Tricks.ipynb |
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# #!/usr/bin/env py... | main_rev1.ipynb |
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# + [markdown] id="RHEQKkj51soL"
# #Important
# This content are intended for... | pills/CM/[DATA_PILL]_[CM]_Campaign_Overlap_(ADH)_v1.ipynb |
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# # "Non-Negative Matrix Factorization"
# > A walkthro... | drafts/.ipynb_checkpoints/NMF brainstorm-checkpoint.ipynb |
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# %load_ext sql
... | Day02/DB-WS02b.ipynb |
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# ## Change parameter bounds and guesses. Fix a param... | 05_change-param-guess-fix.ipynb |
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### PANDAS ###
# -
import pandas as pd
dataset =... | Basic/pandas_intro.ipynb |
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print "hey"
# +
import numpy as np
import torch
impor... | The Adapted Transformer.ipynb |
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# + [markdown] id="7rdfMWbZNbKY"
# ## COMPILADORES
# #### <NAME> - 828.507
#... | aula04_2020-09-25_transdutor_estados_finitos_deterministicos/exe01_2020_09_25_read_validate.ipynb |
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-- # Tutorial Ha... | test/Tutorial_Haskell.ipynb |
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# # Three-grid H-multigrid... | examples/jupyter/demo212_hmultigrid_multilevel.ipynb |
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import requests
from bs4 import BeautifulSoup
he... | loginGithub.ipynb |
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# %load_ext autoreload
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... | notebooks/H2/pipeline_H2.ipynb |
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#... | babilim/training/optimizers/sgd.ipynb |
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# # Test Face Diarization with Open... | test_openface.ipynb |
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# # Notebook template
# Copy this template when starting a new notebook. This template contains:
# * path wrangling (to be able to import scri... | WP3/Task3.1/notebooks/00_template_start_here.ipynb |
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/ + [markdown] cell_id="7678273b-7324-4fac-b7c5-485dddd2d945" deepnote_cell_type="markdown" tags=[]
/ # Reporte de educ... | notebooks/4-report.ipynb |