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# %matplotlib inline
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import pandas ... | experimental_validation/2a_negative_control_analysis.ipynb |
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import pandas as pd
from sklearn.feature_extraction im... | 35-AdaBoost（下）：如何使用AdaBoost对房价进行预测？/titanic_analysis.ipynb |
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import os
import pandas as pd
# %matplotlib inline
fr... | Corona_Virus.ipynb |
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# title: "pandas Time Series Basics"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "pandas time series basics."
# type: technical_note
# draft: false
# aliases:
# - /python/pandas_time_series_basics.html
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# ## Redo the figures... | analysis7.ipynb |
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% + [markdown] slideshow={"slide_t... | notebooks/nb7_thermal_problems.ipynb |
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import os
import sys
import h5py
from tqdm import tqdm... | Samuel_notebooks/.ipynb_checkpoints/zero_filled_whole_data-checkpoint.ipynb |
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# This script is used to do some analysis using RGC da... | code/RGC_Baden_2016_Nature_reanalysis.ipynb |
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import os
import numpy as np
import pan... | Data Clean and Extraction/meta_dataekstraction.ipynb |
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# + id="dKIcnfoBYoC5" outputId="011f1477-684f-4e6e-ce5... | reconstruct_pipeline.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ETK_thorn-MaxwellVacuum.ipynb |
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# ## Tuples
tup_cntry_1 = ('India','SriLanka','Bangla... | Day_5/Tuple_Datatype.ipynb |
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from matplotlib import pyplot as plt
from sklearn.prep... | .ipynb_checkpoints/timeseries-prediction-checkpoint.ipynb |
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# # TimeDistributed testing
from numpy import array
f... | rnn_testing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_Concepts_2.ipynb |
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# ## Develop Kubeflow Pipeline in Notebook
#
# This no... | notebooks/01_Jupyter_Notebook/01_03_Notebook_Development_Pipeline.ipynb |
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# + [markdown... | source/Lecture9/Monte Carlo Simulation and Linear Algebra.ipynb |
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# # Taylor problem 3.23
#
# last revised: 04-Jan-2020... | 2020_week_1/Taylor_problem_3.23.ipynb |
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# # Scrape zomato data ✨ FOR RESTAUTANTS IN MUMBAI
#... | Zomato_scraping_for_mumbai/zomato_scraping.ipynb |
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# + [markdown] id="YQGhuaNsRLO1"
# ##LunarLanderContinuous-v2 by OpenAI Gym
#... | Lunar-Lander-Continuos-v2.ipynb |
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# + [markdown] id="XIelfH4uoLOQ"
# # Working with Animations in Coldtype
# +... | docs/notebooks/tutorials/animation.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ### R Sq... | ml/04-Linear-Regression/05-R-Squared/05-R-Squared.ipynb |
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# ### Multiple Linear Regression Introduction
#
# In t... | House Price/Multiple Linear Regression.ipynb |
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# Dependencies and Setup
import matplotlib.pyplot ... | Pymaceuticals/pymaceuticals_main.ipynb |
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import networkx ... | 7. Bipartite Graphs (Student).ipynb |
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# ML_in_Finance-Backpropagation
# Author: <NAME>
#... | Chapter4-NNs/ML_in_Finance-Backpropagation.ipynb |
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# # Logistic Regression
# ## classification with binar... | section 6_part 1/Accuracy_classification.ipynb |
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# <div class="alert alert-info">
#
# # PSY... | ch_cours/ch03_modifDonnee_combin_opers.ipynb |
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import pandas as pd
import matplotlib.pyplot
matpl... | WhyAlgorithmsMatter.ipynb |
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# + [markdown] slideshow={"slide_type":... | nlp/resources/temp/question_answering.ipynb |
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from PIL import Image
from functools import reduce... | Single Parameter Fit.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Initial_Notebook.ipynb |
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# # Linear Regression
#
# * y와 한 개 이상의 독립 변수 (또는 설명 변수... | tf.version.1/02.regression/01.1.linear.regression.ipynb |
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# https://github.com/luisguiserrano/hmm/blob/master/Si... | bayes/Old_code/Untitled2.ipynb |
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#replacing a char
import numpy as np
a="hello"
... | String_operations/Replace.ipynb |
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# # SSNR validation
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# Validate SSNR method on sy... | notebooks/SSNR_validation.ipynb |
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# ## Data visualization
# ### The gender gap in colleg... | assets/projects/DQ_Visualization_2/Basics.ipynb |
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import sqlite3
con = sqlite3.connect('todo.db') # Warn... | Todolist.ipynb |
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# # Denoising Autoencoder
#
# Sticking with the MNIST ... | autoencoder/denoising-autoencoder/Denoising_Autoencoder_Exercise.ipynb |
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from statsmodels.tsa.seasonal import seasonal_decompos... | Lernphase/SW12/Skript.ipynb |
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# + [markdown] id="8H1CGTFa1Lo-"
# # Bilibili视频网站排行榜评分... | lab.ipynb |
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# # Review of descriptive statistics
# ---... | statistics/rw_statistics_01.ipynb |
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# # **Pandas - Basic (1)**
#
# #### Pandas란
# - NumPy를... | python_24_pandas_basic_1.ipynb |
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# # Parallax effect
#
# This tutorial presen... | doc/source/usage/tutorial/ThickDetector/Parallax_model.ipynb |
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import pandas as pd
import numpy as np
import matp... | additional_resources/additional_datasets/car_loan/EDA.ipynb |
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# # M... | m02_analisis_de_datos/02_tabulando_datos/02_tabulando_datos.ipynb |
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# # Feature: Out-Of-Fold Predictions from a CNN (+Magi... | notebooks/feature-oofp-nn-cnn-with-magic.ipynb |
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# Common methodology for recognizing digit... | numbers.ipynb |
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# %reload_ext autorel... | Run.ipynb |
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import pandas as pd
filepath = '../data/processed/how... | notebooks/ag-format-collapses-1.0.ipynb |
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import pandas as pd
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from plotly.off... | cluster model/Oil Spill Prediction.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | notebooks/1_EDA.ipynb |
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import pymatgen
import ase.db
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im... | mpcontribs-users/mpcontribs/users/dtu/dtu_mpfile_build.ipynb |
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from IPy... | ipython/local_uncertainty.ipynb |
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# Plot the number of projects that ask for funding ove... | src/jupyter_notebooks/funding_adoption_over_time.ipynb |
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# # Compiling Chemical Reaction Networks
# __Overview:... | examples/2. Compiling CRNs with Enzymes Catalysis and Binding.ipynb |
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# The objective of this pr... | resources/model.ipynb |
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# # <font color='blue'>Project Data Science Rossmann S... | my_project_rossmann_store_sales_prediction.ipynb |
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import pandas as pd
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import mat... | Source/Chapter02/LinearModels/Regression/ridgeRegression.ipynb |
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# Let's import some libraries first...
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import pan... | notebooks/ccp/CreditCorpConsumerLending-WayOffWithLinear.ipynb |
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# # Building a NER System
#
# A simple approach to bui... | 05_Information Extraction/03_Named Entity Recognition.ipynb |
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import pandas as pd
df = pd.read_csv("../datos/tce/ti... | notebooks/intersecciones-vacias-tce.ipynb |
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# # SkillFactory
# ## Введение в ML, введение в sklear... | hw_02/ml-intro-hw.ipynb |
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# # VISST data viewer
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# This code views data... | notebooks/VISST data viewer.ipynb |
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# ### Model v1
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# This version of mode... | models/v1.ipynb |
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############## PLEASE RUN THIS CELL FIRST! #######... | session3/complete/session3.ipynb |
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# # Heat Map
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# 导入beakerx库及其他所需库文件
from beakerx im... | beakerx_samples/beakerx_python_heatmap&categoryplot.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | English/3. String Manipulation.ipynb |
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import pandas as pd
import seaborn as sns
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df = pd... | 6. Occupation and Products Analysis/Black Friday - Occupation and Products Analysis.ipynb |
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# # Cryptographie - principes de base
# ## 0- Princip... | cryptographie-principes-de-base.ipynb |
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# + pycharm={"name": "#%%\n"}
import h5py
dataPath = ... | data_K.ipynb |
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# # Módulo 2: Scraping con Selenium
# ## LATAM Airline... | NoteBooks/Curso de WebScraping/Unificado/web-scraping-master/Clases_old/Módulo 3_ Scraping con Selenium/M3C6. Ejecutando el scraper - Script.ipynb |
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# + language="html"
#
# <link href="https:... | notebook/common-imports.ipynb |
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# -*- coding: urf-8 -*-
# %matplotlib inline
imp... | chapter2/01-namu-wiki-text-analysis.ipynb |
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# # Lab 2: Classification
#
# ### Machine L... | ml1_labs/lab2/.ipynb_checkpoints/lab02_mul_gallegoposada_menyah-checkpoint.ipynb |
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# + [markdown] deletable=true editable=true
# # Recogn... | LSTM.ipynb |
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# # Meta Data Exploration
#
# <NAME> -- <EMAIL>
#
# Th... | notebooks/00_Meta Data Exploration.ipynb |
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# # SYS 611: Flip Flop (Discrete Time Simulation)
#
# ... | week7/FlipFlop.ipynb |
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# + id="KkwXnw9OfHZl" colab_type="code" colab={"base_uri": "https://localhost... | session3/assign_3_70k_81.ipynb |
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# %load_ext autoreload
# %autoreload 2
import os
... | examples/Reservoir modelling.ipynb |
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# + [markdown] id="BcMGrh0snfeS"
# [![Open... | MLE.ipynb |
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import numpy as np
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import ma... | notebooks/SalishSeaZoopBiomass.ipynb |
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# ## Risk minimization for loan investments
#
# ## Th... | Risk minimization for loan investments .ipynb |
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# + [markdown] colab_type="text" id="UvYDZmH_xHPG"
# #... | 1 - Fundamental of GANs/GAN.ipynb |
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# # 2A.soft - Git depuis le notebook
#
# [Git](http://... | _doc/notebooks/2a/git_notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] tags=[]
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# # Image Classificat... | examples/vision/ipynb/image_classification_with_vision_transformer.ipynb |
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from matplotlib.pylab import plt
import numpy as np... | test/test_fitness.ipynb |
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import altair as alt
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from keras.models import Sequential
from keras.lay... | keras/deeplearning_example/Untitled.ipynb |
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#Import all the necessary libraries here
import numpy ... | footware_and_crypto_solution.ipynb |
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# Dependencies
import requests
import json
import requ... | group_files/nazia/notebooks/sportsdata.ipynb |
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# ## Questionário 61 (Q61)
#
#
# Orientações:
#
# - ... | _build/jupyter_execute/todo/Q61-gab.ipynb |
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# ## Нарисовать маски изображений
# Этот ноутбук гене... | src/Make masks to tune.ipynb |
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# # Multigrid examples
# %matplotlib inline
import ma... | multigrid/multigrid-examples.ipynb |
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import os
import yake
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# # Intro to Recommender Systems Lab
#
# Complete the ... | module-2/lab-intro-recommender-systems/your-code/main.ipynb |
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# + ... | src/user_guide/control_actions.ipynb |