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# 集成学习中主要是同时通过多个模型计算,最后通过多模型之间投票决定最终结果
#
# 下面这个示例是:
# ... | 09.Ensemble/1.vote.ipynb |
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# # TimML Notebook
# ## Cross-sectional model
from py... | notebooks/timml_xsection.ipynb |
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# # Measure overlap between two label imag... | docs/28_colocalization/measure_overlap_between_label_images.ipynb |
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# + id="-8e0tAC7e0CI"
import functools
imp... | cifar100/simplenet/trainings/cifar100_simplenet_selu.ipynb |
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# ## Show main classification metrics
from sklearn.metrics import classification_report
print(classification_report(y_test,predictions))
# C... | eval/eval.ipynb |
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# + [markdown] id="wGEesKmbs6nz" colab_type="text"
# # Querying Data from Goo... | notebooks/4_query_GEE_server.ipynb |
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# %matplotlib inline
import matplotlib.pylab as plt
im... | Modulo3Simat/SVM/SVMEjemplos.ipynb |
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# # Regression Errors
#
# Let's talk about errors in r... | sphinx/datascience/source/regression-errors.ipynb |
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# # Ejercicio análisi exploratorio parte 2
#
# Utiliza... | Web Application/Notebooks/5. Analisis Exploratorio/Ejercicio parte 2.ipynb |
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# %matplotlib inline
#
# Transforming Power Spectra
#... | doc/auto_examples/sims/plot_transforms.ipynb |
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# # Tutorial 13: Running RLlib experiments... | tutorials/tutorial13_rllib_ec2.ipynb |
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import scipy.io as sio
import numpy as np
import panda... | Analyse BATS data.ipynb |
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import requests
import sys
from bs4 impor... | peaky-blinders/count_song_artist.ipynb |
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# %load_ext autoreload
# %autoreload 2
import fastai
... | Opacities Detection.ipynb |
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# + tags=[]
# %load_ext autoreload
# %auto... | notebooks/Untitled.ipynb |
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# + [markdown] toc-hr-collapsed=true
# # Validation of... | test/validate/notebooks/validate_bf_eia923.ipynb |
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import numpy as np
import pandas as pd
import matplot... | Deepak/preprocessing.ipynb |
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# name: python394jvsc74a57bd0b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e0585... | Logistic_Reg_Pytorch.ipynb |
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# # Hi, it's me <3 <NAME>!
#
# In this part I'm going... | Financial_API/Semindoncutor Industry Analysis Part 2.ipynb |
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# +
import glob
import os
import re
import pickle
im... | cleaning/Cleaning.ipynb |
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# # Q1
# # job1
# Intelligence Analyst for BSI Suppl... | data clean lab.ipynb |
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# ## Importations
# Run Keras on CPU
import os
os.en... | src/Prediction_and_Evaluation-Online.ipynb |
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# %matplotlib inline
#
# # Graphs from a set of lines... | plot_lines.ipynb |
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# +
# default_exp modeling.core
# +
#hide
# %reload_e... | nbs/01_modeling-core.ipynb |
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# # Day 4 Data wrangling with Python - Exercises
# #... | Exercises/day-4-data-wrangling-with-Python-exercises.ipynb |
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# # Legendre Functions
# Series expansions are used i... | math/Legendre.ipynb |
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# <b>Calcule a derivada da função dada e determine a i... | Problemas 2.1/15.ipynb |
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# +
import pandas as pd
import numpy as np
import mat... | Voters_and_MPs_datasets.ipynb |
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import sys
import re
from reprowd.crowdcontext import ... | src/notebook/pybossa_setup.ipynb |
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# **Вопросы для повторения:**
# * что такое `std::mute... | 2021/sem2/lecture_4_concurrency_3/repetition.ipynb |
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# !pip install psycopg2-binary
import psycopg2
dir(p... | module2-sql-for-analysis/elephantsqlCLASS.ipynb |
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# +
import pandas as pd
import os
import glob
from rdf... | src/ontology/reports/mondo_analysis.ipynb |
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# +
# import packages needed
from IPython.display impo... | imageWindowMaker.ipynb |
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from pom_scrape import get_page, open_session
# +
de... | Untitled1.ipynb |
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# ### imports
# +
import lmdb
import numpy as np
impo... | notebooks/gen_data.ipynb |
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# ## kNN的决策边界
# 对于kNN算法来说，k越小，决策边界越不规则，越过拟合。
# +
imp... | Part5Improve/09-Logistic-Regression/Optional-01-kNN-Decision-Boundary/Optional-01-kNN-Decision-Boundary.ipynb |
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# +
### Fibona chicken
# +
def fib_chick(n):
a, b... | python/fibonachicken.ipynb |
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# # Ray "Crash Course" Overview
#
# © 2019-2020, Anysc... | ray-crash-course/00-Overview-Ray-Crash-Course.ipynb |
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# #
# +
# %matplotlib inline
from py4xs.hdf import h... | docs/mapping.ipynb |
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# # CW-13 Matrix
# #### <NAME> & <NAME>
#... | Matrix.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
im... | .ipynb_checkpoints/visualization-checkpoint.ipynb |
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# # Assessed Problem #3
# The function f(t) represent... | Assessment_3/Problem_3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/value_iter_hjb_upwind.ipynb |
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# ## Autograded Notebook (Canvas & CodeGrade)
#
# This... | module3-join-and-reshape-data/LS_DS_113_Join_and_Reshape_Data_Assignment_AG.ipynb |
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# + slideshow={"slide_type": "-"}
import sys, os
impor... | plotting_param_distros/Validation_Configs_Plots.ipynb |
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# ### 1.Binary Morphology
#
# #### Binary Filter: CROS... | Assignment-2/ee18btech11017_hw1.ipynb |
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# # Movie Science
# ## Manipulating user-generated con... | code/Overview.ipynb |
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# Looking at team performance, using subjective daily ... | notebooks/20-analysis/team-performance/20.15-ol-team-daily-survey-data-daily.ipynb |
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# # Rough draft of getting _vcf_ files
# ### Overview
... | Tutorials/SBPLAT/Get_my_VCFs.ipynb |
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# # Demand Unconstraining Using Expectation-Maximizati... | pricing/demand-unconstraining.ipynb |
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# +
import os, sys
sys.path.append(os.path... | notebooks/1.1-lw-evaluation-smap-univariate.ipynb |
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# # 3 時間目
# # フィルタを使って学習機械を作ってみよう
#
# それでは，最後の時間では，現代 ... | 03.ConvNet01.ipynb |
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# <a href="http://cocl.us/pytorch_link_top">
# <... | pyTorch-Week3-MultipleRegression.ipynb |
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# # TL;DR
#
# This notebook is used to run experiments ... | notebook/reproduce/Online Policy Evaluation.ipynb |
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# # Multilayer perceptron Done
#
# Class is better
#
#... | fase 2/MLP - Classes.ipynb |
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# + [markdown] colab_type="text" id="tTuYGOlnh117"
# #... | examples/tutorials/Working_With_Splitters.ipynb |
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import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Hello_Magenta.ipynb |
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# # Exercise 7: Sinusoidal plus residual model
#
# In ... | stanford/sms-tools/notebooks/E7-Sinusoidal-plus-residual-model.ipynb |
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import matplotl... | CNN_MODELS/facial_final_83%.ipynb |
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# + [markdown] id="0QH-0cGfZk-j"
# [![Open In Colab](https://colab.research.g... | notebooks/basics.ipynb |
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import matp... | airbnb data exploration/host_until/calculate_host_until.ipynb |
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#
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# # Jordan - The Corona Helpbot
# *Jordan is a cha... | M.Dressel_Jordan_JupyterNotebook.ipynb |
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# # $U x = b$ Solver
# ## Backsubsitution
functi... | HW04/2.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="f-H7uxad8Tfz" execution... | colabs/xception-model_1_local.ipynb |
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# # Data extracti... | 0M_data_extraction_mouse.ipynb |
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# # 2A.data - Pandas et itérateurs - correction
#
# [p... | _doc/notebooks/td2a/pandas_iterator_correction.ipynb |
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import yfinance
import mplfinance as mpf
i... | notebooks/yfinance_data.ipynb |
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# Dependencies and Setup
import pandas as pd
# +
# Fi... | Heroes_Of_Pymoli.ipynb |
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# + id="63kG3j0E7WAM" colab_type="code" colab={} executionInfo={"status": "ok... | session-8.ipynb |
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import numpy as np
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fro... | _build/jupyter_execute/lab_01/ME3264_Lab-01.ipynb |
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# # Demo of Ch1. Introduction
# ----
# This is the sam... | demo_01.ipynb |
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import pandas as pd
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from sklearn.mo... | RandomForestClassificationPopularity.ipynb |
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# # BanDiTS - Breakpoint Detection in Sentinel-1 Time ... | notebook/example.ipynb |
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a_3d = np.arange(24).reshape(2, 3,... | notebook/numpy_dsplit.ipynb |
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# # CSE 6040, Fall 2015 [24]: "Online" regression
# T... | 24--online-linreg.ipynb |
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# ## Read the IRPHAR table
import pandas as pd
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# %load_ext autoreload
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# + colab={"base_uri": "https://localhost:8080/", "height": 1000} id="xnh98cw... | Week 9/4.1. Multilayer Perceptrons.ipynb |
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# # Think Bayes
#
# Second Edition
#
# Copyright 2020 ... | code/soln/chap02soln.ipynb |
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# # Exercise 7
#
# The result will be evaluated from a... | Exercises/E7-DecisionTrees_Bagging.ipynb |
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// # Day 6, Lanternfish
// Find a way t... | Notebooks/Day6.ipynb |
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# # Estatística - Distribuição Hipergeométrica
# * Ca... | Data_Science/Estatistica/Distribuicao_Hipergeometrica.ipynb |
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# Used the pre-trained glove embedding model in this t... | Deep_part/text_classifier4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cohesion_test/[xlm_r_large_en_ko_nli_ststb]sentence_transformer.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="4a_TQScHdIrz" outputId=... | Sample Testing/segmentation.ipynb |
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# # Think Bayes
#
# This notebook presents example cod... | examples/urns.ipynb |
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# + [markdown] papermill={"duration": 0.006583, "end_time": "2021-02-24T... | R_Notebooks/r-notebook-analyzing-rct-with-precision.ipynb |
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from pandas i... | pandas/HW_class2_17july2018_Pandas.ipynb |
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# default_exp utils_tab
# -
#hide
#all_ignoretest
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# # 学会使用Fiddler
# # 爬虫浏览器的伪装技术
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# # Explaining Tree Models with Interventional Feature... | doc/source/examples/interventional_tree_shap_adult_xgb.ipynb |
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# ### Imports:
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# # 02 Retrieving GenBank Annotations
#
# ## Pyrewton ... | notebooks/02_retrieving_genbank_annotations.ipynb |
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# # Using Ibis and Altair for OmniSci
#
# In this note... | notebooks/Ibis + Altair.ipynb |
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# # Programming and Database Fundamentals for Data Sci... | notebooks/.ipynb_checkpoints/PythonMysql-checkpoint.ipynb |
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# # Ingest Text Data
# Labeled text data ca... | ingest_data/ingest-data-types/ingest_text_data.ipynb |