code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import pandas as pd
import numpy as np
import seaborn ... | pandas_1.ipynb |
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# # [ Model v3 val ]
# 2020572045 정병길
# ### System C... | notebook/model_v3_val.ipynb |
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# + colab_type="code" id="TRGdJWyLcjs8" colab={}
impor... | Cifar10/CIFAR10_Gaussian/CIFAR10_ResNet_Gaussian Filter.ipynb |
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import tensorflow as tf
import numpy as np
import ... | MDN.ipynb |
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query1 = """query all($a: string)
{
... | notebook/procs-dgraph-meta.ipynb |
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from multilayernn import * #Import from own library
im... | multilayernn/iris.ipynb |
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import pandas as pd
import seaborn as ... | examples/dsm_v/Structured Heatmap.ipynb |
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# # Exo 2
# +
class Point:
def __init__(self, x,... | 1-base/Exo2/Exo2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | 00_setup/notebooks/00a_Set_up_of_a_computational_environment.ipynb |
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import random
def rollDie():
"""returns a ran... | python/OCW/6.00/Monte Carlo Simulation.ipynb |
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# # IBM Code Day - Data Scien... | IBM Code Day - Data Science - Hands-on.ipynb |
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import pandas as pd
import numpy as np
# # Объединени... | Examples/1 - Unite Data.ipynb |
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# **Корректность проверена на Python 3.6:**
# + numpy ... | course-2/week-4/241. sklearn.decision_trees.ipynb |
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# %cd ..
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import os
os.environ['SEED'] = "42"
im... | notebooks/03-5-gru-temperature-cross-entropy-augmented.ipynb |
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# # Just-in-time Compilation with [Numba](http://numba... | numba/numba-cpu/Numba_Cpu.ipynb |
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# # Bokeh-catplot
#
# A utility to use Bokeh to genera... | notebooks/readme_notebook.ipynb |
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# + [markdown] id="OR_5sV5QAssR"
# ### 5.3. Measure the... | Assignment5/question5.3.ipynb |
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# # Figure 1
#
# ## Anisotropic KDE as density estimat... | Fig1.ipynb |
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import numpy as np
import pandas as pd
import matp... | task1/graphMake.ipynb |
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# + tags=["remove-input", "active-ipy... | openmdao/docs/openmdao_book/features/building_blocks/drivers/genetic_algorithm.ipynb |
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a = 'this is a book'
a.split()
a = '那酸民婉君也可以報名嗎?'
# ... | Demo20180920_final.ipynb |
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# # Plots for linear regression standard training
# +... | linear_regression/standard_training/plots.ipynb |
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# allow matplotlib graphics to display in the note... | Jupyter Notebooks/CNN Tuning.ipynb |
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mystring = 'hello'
# +
mylist = []
for letter in mys... | Lectures/Unit 5/List Comprehensions.ipynb |
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# .ipynb |
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# ## Automatic Reshaping
# To change the dimensions o... | data/external/numpy-working-with-multidimensional-data/02/demos/m02_demo06_AutomaticReshaping.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | exercises/exercise 1 - loan prediction problem/solutions/Answers_SandravdBroek.ipynb |
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# # Functions
# ## Definition
#
# We use `def` to d... | 01-beginner/04functions.ipynb |
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import sqlite3
import pandas
sqlite_file = 'lahma... | Homeworks/HW2/Paul_HW2.ipynb |
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import src.utils.utils as utils
import gensim
from... | src/analysis/feat_extraction/Untitled.ipynb |
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# + [markdown] extensions={"jupyter_dashboards": {"ver... | examples/scotch_dashboard.ipynb |
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# # "Sort Colors"
# > "[[Leetcode]](https://leetcode.c... | _notebooks/2020-05-14-sort-colors.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Parsian.ipynb |
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# + [markdown] id="J_enGfiG98ak" colab_type="text"
# # 1) Pandas Series
# + ... | 15DataAnalysisWithPandas.ipynb |
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# # Detecção de Emoções em Imagens com Inteligência Ar... | 12-Introducao_a_Deep_Learning/01-Deep-Learning-Treinamento.ipynb |
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# %pylab inline
# %load_ext autoreload
# %autoreload 2... | S&P Alphas/EXO_ES_generator.ipynb |
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# + id="copyright"
# Copyright 2022 Google LLC
#
# Licensed under the Apache ... | notebooks/community/ml_ops/stage1/get_started_with_data_labeling.ipynb |
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# # Milky Way CCSN Distributions
#
# Load FITS data co... | docs/nb/stellar_distributions.ipynb |
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# # Demo MAGxHR_1B (magnetic field 50Hz)
#
# > Authors... | notebooks/03a2_Demo-MAGx_HR_1B.ipynb |
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list_one = [1, 2, 3]
list_two = [4, 5, 6]
print(list_one + list_two)
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# # Recalculate dx and dy in a dataframe by calling fu... | scripts/minitutos/PD_dx_dy_calc.ipynb |
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# Here you will find additional resources used in refe... | Python/Basics/Python_Basics_19_-_Additional_Links.ipynb |
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# # Sparse Ordinary Autoencoder
#
# From an example on... | experiments/Sparse Ordinary Autoencoder.ipynb |
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# + inputHidden=false... | notebooks/N170.ipynb |
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# name: python374jvsc74a57bd020bbdedb0079e23a85211f14a09dbcc829fefc965ff02508ebf68fe08b48... | src/oddball/visualization.ipynb |
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import sys, os
sys.path.append(os.path.abspath(".."))
... | experiments/Fig3.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | lab_2_Klionkin_6132.ipynb |
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# # Online Retails Purchase
# ### Introduction:
#
#
#... | 07_Visualization/Online_Retail/Exercises_with_solutions_code.ipynb |
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# # PyPlot and Pylot
# > Oddly specific Da... | _notebooks/2021-01-03 PyPlot and Pylot.ipynb |
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import sbol
name_space = "http://www.examples.org"... | 2019/IWBDA19/workshop/snippets/Modifying a Component.ipynb |
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# !pip install sklearn pandas xgboost
# +
# Copyright... | examples/notebook/fairing-xgboost.ipynb |
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# # TensorFlow 기본 구조 이해
# +
import tensorflow as tf
... | tf.version.1/01.tf.basic/01.hello.tf.ipynb |
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# # Sentime... | nlp/Sentiment Analysis.ipynb |
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# # WeatherP... | starter_code/WeatherPy.ipynb |
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# ## 3. Causal Generative Neural Networks(CGNN)
# (201... | cs224w/CGNN.ipynb |
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from IPython.display import HTML
HTML('''<script>... | 02-novice/900Counting.ipynb |
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# ## Downloading and preprocessing MEN
# This notebook... | evaluate/data/men/preprocessing/preprocessing_men.ipynb |
# -*- coding: utf-8 -*-
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# 3. (20점) R에서 제공하는 airmiles 데이터셋은 1937년~196... | 1st semester/01.LinearRegression/Middle-Test/Middle-Test 3.ipynb |
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# This page is the second in a series where we build a... | docs/tutorials/ball-and-stick-2.ipynb |
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import pandas as pd, numpy as np, seaborn as sns, matp... | Scripts/outlier_analysis/black_sheep_CPTAC_endo_tutorial.ipynb |
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import os
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... | ipython_notebooks/identify_silence.ipynb |
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# # Lecture 10: Expectation Continued
#
#
# ## Stat 11... | Lecture_10.ipynb |
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import numpy as np
import matplotlib.pyplot as p... | unsupervised/gmm_clisificador_4_4.ipynb |
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import os
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import requests
f... | collect_nyt.ipynb |
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# # Recommender Systems 2018/19
#
# ### Practice sessi... | Jupyter notebook/Practice 6 - MF.ipynb |
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# pip3 install scikit-learn
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import pandas
db... | Train_The_Model.ipynb |
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# + [markdown] id="xIWI0JFBGXOQ" colab_type="text"
# #... | Lecture 2/Notebook-4-python-functions-and-scope.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={... | lessons/notebooks/Bayesian-Machine-Learning.ipynb |
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# Pandas is used for data manipulation
imp... | RandomForestInPython.ipynb |
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# # Now, it is time for start an automated ML pipeline... | lab/02_TrainYourModel/01_Training our custom model.ipynb |
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# %matplotlib inline
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imp... | crash-locations-data-wrangling.ipynb |
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import pandas as pd
import requests
import time
from s... | missiontomars.ipynb |
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feet = int(input("Enter a feet"))
if(feet<=1000):
... | Day3 Assignment-1.ipynb |
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# # Part 3.1
#
# ## Python
#
# ### Good Code, OOP I an... | Part 3.1.ipynb |
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# # Data Analysis
# Electronic data and computational... | 2-Data_analysis/Data_Analysis.ipynb |
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# # Jpred Demo
#
# This demo shows how to create and q... | docs/_static/demos/datasets/JpredDemo.ipynb |
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# name: c009-intel_distribution_of_python_3_oneapi-bet... | DirectProgramming/DPC++/Jupyter/oneapi-essentials-training/01_oneAPI_Intro/oneAPI_Intro.ipynb |
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import requests
link = "https://epsg.io/28350.pr... | notebooks/111 epsg test.ipynb |
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# + active=""
# get columns from dataframe whi... | 4_b_convert_categorical_columns_to_label_encoded_columns_or_integer_column.ipynb |
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# ## 9.5 插入程序源代码
#
# 使用Beamer制作幻灯片时，可以使用`v... | chapter-9/section5.ipynb |
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# # Alternatives to Linear Regression
#
# ## Polynomia... | Geron/Geron_ch4_Regression/Regression_03_Polynomial.ipynb |
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# + id="nrWFewXikfL1" colab_type="code" outputId="705d8ded-2c06-43a3-f70e-421... | Source Code/Auto_Encoder_v0.ipynb |
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# # Hyperparameter Optimization with Hyperopt
#
#
# #... | examples/hyperopt/model_hyperopt_example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled4.ipynb |
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import ... | Untitled.ipynb |
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# # Q2
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import json
f... | Lab5.ipynb |
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# + [markdown] id="er3LvftjPPTN" colab_type="text"
# This notebook shows how ... | 4.1 TFLite Model Maker_Icons-50.ipynb |
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# #!pip install -U google... | bqml/House_Prices_v1.ipynb |
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# # Optimize Custom Grouping Function
# In this challe... | challenges/Dunder Data Challenge 001 - Optimize Custom Grouping Function.ipynb |
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# # Imports
# +
import numpy as np
import pandas... | examples/climate-resilience/notebooks/visualize_example_3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Python_exercise/Exploring_Marathon_Finishing_Times/Exploring_Marathon_Finishing_Times.ipynb |
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# Renaming col names
somedata = (
somedata
.wi... | kaggle/pyspark-filter-pivot-window-join-union-collect_set.ipynb |
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# ## Momentum adn NAG
# #### Import numpy, matplotlib... | Momentum and NAG Optimizers/Momentum and NAG Gradient Descent.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Blending Craft Beer
# ## Introduction ##
# In thi... | docs/source/CLP/solved/Blending Craft Beer (Solved CBC).ipynb |
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# + [markdown] id="wD9NzbrFVc7h" colab_type="text"
# # Unclaimed Property Rec... | unclaimed_property_search.ipynb |
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# ## Notes & pre-requisites
# This an **end-to-end** ... | legacy_docs/MSMARCO_docs_2020-12-06_complete.ipynb |