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# https://blog.csdn.net/weixin_41712499/article/detail... | feature_engineering/data_preprocessing.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotlib ... | metabric.ipynb |
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import numpy as np
... | double-error correcting code on GF(16).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Praca_z_plikami.ipynb |
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# # Clusterization methods
# <h3> Plan </h3>
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impo... | day_14_Unsupervised/14_Unsupervised.ipynb |
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# cd '/Users/zoltan/Dropbox/Chronostratigraphy/stratig... | stratigraph/Stratigraph_example.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | DOCKER/sections/LXML-NETCONF.ipynb |
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# **Chapter 3 – Classification**
#
# _This notebook co... | 03_exercises.ipynb |
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# # Economic Data Processing (MADDISON)
#
# >Maddison ... | notebooks/4.ipynb |
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DATE = "2021-08-22"
TASK = "iterative-correction-v... | docs/_src/5.Development/2021-08-22-iterative-correction.ipynb |
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import tensorflow as tf
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# Session 写法一
... | Course/1.0/Basic/5-Session.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1... | test/test-fastspeechsplit.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # F... | notebooks/block1/block1_session3_programming_concepts.ipynb |
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using Random
using Base: @kwdef
using Parameters: ... | SNN/SOM.ipynb |
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# # Data Cleaning
#
# The WESAD Dataset is huge (12GB... | train_dir/data_cleaning.ipynb |
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# ### Select patients for CFR model: Split patients in... | notebooks/cfr_datasets_patientsplit_global.ipynb |
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# <ul>
# <div style="text-align: LEFT"> <div style="co... | DAY2-AR-FSLA-PROGRAMS WITH SOLUTION.ipynb |
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# # 循环
# - 循环是一种控制语句块重复执行的结构
# - while 适用于广度遍历
# - fo... | 7.19.ipynb |
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# %matplotlib inline
import pandas as pd
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# # Decorators
#
#
# A decorator involves concepts of ... | A_decorators.ipynb |
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print(os.uname())
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# # Data Science with Spark - Analyzing Stock Prices a... | data/notebooks/nb_724669.ipynb |
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# Import some package... | code/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import geopandas
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# + colab={"base_uri": "https://localhost:8080... | Experiments/more_or_less_data/covid_50_pts.ipynb |
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print("original(оригинал... | Untitled.ipynb |
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# # Graph
# ### <img src="https://raw.githubuserconte... | Graphs.ipynb |
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impor... | Standard-Attacks.ipynb |
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# # 9. Thresholding exercises
# 1. Import the relevan... | e09-Thresholding.ipynb |
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# [binaryen](https://github.com/WebAssembly/binaryen) ... | refs/wasm/binaryen.ipynb |
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# # Practical 3: Modules and Functions - Introducing N... | Practical_3.ipynb |
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# # FMU Data Acquisition Code
from serial import *
im... | read_serial_notebook.ipynb |
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# # Feature Selection
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# Feature selection... | feature_selection.ipynb |
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import os
impor... | notebooks/distribution.ipynb |
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import numpy as np
import tensorflow as tf
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# # <p style="text-align: center;"> Part Six: Fuzzy Ma... | Data Science/Data_Preprocessing/Notebooks/.ipynb_checkpoints/INFO7390_Assignment_3_Mini_Project_One_Part_Six-checkpoint.ipynb |
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# # Validation report for dmu26_XID+PACS_COSMOS_201703... | dmu26/dmu26_XID+PACS_COSMOS/validation_report-PACS_red.ipynb |
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# # Lex-Minimizer #
# In this notebook, we will de... | notebooks/Lex.ipynb |
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# Session 2 Homework
# =================
#
# ## Exerci... | book/2-homework.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tesina_Logica_Fuzzy.ipynb |
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# This notebook uses [the world population data from W... | 15-warmup-solution_dataframe_and_series.ipynb |
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# # Google Review Keyword Frequency
#
# ## 수행 요소
# 1. key... | googleKeywordFrequency.ipynb |
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using FileIO
using MeshIO
using GeometryTypes
usin... | mesh_distance.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Ro_Davies_assignment_kaggle_challenge_3.ipynb |
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from data import current_path_file
import os
import pandas as pd
... | test.ipynb |
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import pyomo.environ as pe
import numpy as np
import p... | optimization/NLP-pyomo-example.ipynb |
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# # Python Refresher
#
# From http://scipy-lectures.or... | notebooks/python_refresher.ipynb |
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# Imports for the excercise
import pandas as pd
i... | samples/interactive_experiments.ipynb |
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# ## Tensors
#
# * constant tensor `tf.con... | Tensorflow/TensorFlow.ipynb |
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# # The Battle Of Neighborhoods
# ### Introduction:
... | Week5/Capstone - The Battle of Neighborhoods - Part 2.ipynb |
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# # Classification
#
# *지도학습* 기법에는 일련의 변수와 알고 있는 라벨 값이... | 03 - Classification(KR).ipynb |
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# %reload_ext nb_black
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# # 수학 기초
# ## Day 1 함수
import numpy as np
a = np.a... | python/sem0/Math Python Day1.ipynb |
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# # Test if MendelImpute can impute untyped SNPs
... | data/1000_genome_phase3_v5/filtered/Impute_untyped_chrom22.ipynb |
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# title: "Bas... | soln/01_query.ipynb |
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# # Ingest data with Athena
# This notebook... | ingest_data/ingest-with-aws-services/ingest_data_with_Athena.ipynb |
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from hyperopt imp... | [IMPL]_Hyperopt_example.ipynb |
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# # <center>Multiscale Geographically Weighted Regress... | Notebooks/.ipynb_checkpoints/Poisson_main-checkpoint.ipynb |
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# # Keras tu... | mnist/Keras.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Spam Filtering/Emails/main.ipynb |
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# # FloPy
#
# ## Basic plotting of MODFLOW 6 Results f... | examples/Notebooks/flopy3_mf6_BasicPlotting.ipynb |
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from nltk.tokenize import TreebankWordTokenizer
s... | src/nlpia/book/examples/ch03_2.ipynb |
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# ## Single Index Quantile Regression
#
# Author: <NA... | Single Index Quantile Regression.ipynb |
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# + id="n-bz83O4K9Xp"
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# + colab={"bas... | Exercise18.ipynb |
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"""
This part of code is the Q learning brain, whi... | Q Learn算法更新/RL_brain.ipynb |
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# + [markdown] _uuid="40733c39647bac5056ba0dada8409d61... | Tutorial Keras_ Transfer Learning with ResNet50.ipynb |
// -*- coding: utf-8 -*-
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// # Клас конте... | Notebooks/3hird/C_Sharp.ipynb |
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# Example 5.4 of [AJPR14]. The JSR is 3.9173847151... | examples/AJPR14e54.ipynb |
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# # Issue 10 -- Waveform Time Shifting
#
# Double chec... | issues/open/issue_10_waveform_time_shifting.ipynb |
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# + [markdown] colab_type="text" id="1OLxnpePKtcI"
# #... | extras/amld/notebooks/solutions/4_qd_estimator.ipynb |
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import numpy as np
import matplotlib.pyplot a... | Untitled.ipynb |
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#Assignment_3_Task_3
########
#Assignment is don... | Assignment 3/Assignment_ 3_Task_3.ipynb |
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# # [Boosters] Raiffeisen Data Cup. Baseline
# Общий п... | Raif/notebooks/Baseline_my.ipynb |
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# # Reproduce Figure 1
# If you haven't seen it alread... | benchmarks/uf_posterior_visualization/uncertaintyforest_fig1.ipynb |
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# # Replaying the Interaction Dataset
#
# This noteboo... | docs/tutorials/04_interaction_dataset.ipynb |
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# + [markdown] colab_type="text" id="VofbcErR9HwM"
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# ### 라이브러리 불러오기
import sklearn
print(sklearn.__versi... | ch01/.ipynb_checkpoints/ch01_01_titanic_sk_ver0_22-checkpoint.ipynb |
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import tensorflow as tf
from tensorflow.keras.datasets... | partitioned_vgg16/vgg_INT4.ipynb |
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# # Agent-Based Simulation: Bala... | code/abm/b-conv.ipynb |
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# + [markdown] id="s_qNSzzyaCbD" pycharm={... | benchmarks/earthquake/mar2022/FFFFWNPFEARTHQ_newTFTv29-gregor-parameters-pre-may2022.ipynb |
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# # Naive Bayes
# ## Bayes Theorem
#
# Bayes theorem ... | course/1_supervised_learning/04 Naive Bayes.ipynb |
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# # VCFTools.jl
#
# VCFTools.jl provides some Juli... | LangeSymposium-ProgrammingWorkshop-20202022-master/LangeSymposium-ProgrammingWorkshop-20202022-master/02-vcftools/vcftools.ipynb |
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# # Latexify Matplotlib
# > Towards amazing plots in r... | _notebooks/2014-06-02-latexify.ipynb |
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import os
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import pandas as pd
import num... | samples/ship/Generate Train Val Sets.ipynb |
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# ## Contact Codes
#
# Trying to predict the likelihoo... | models/5.0-st-contact_codes.ipynb |
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# This makes a first contrast curve for Altair
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# # Churn Project
# --------------------------------... | customer-churn-prediction/churn-project.ipynb |
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# # NLP Basics: Exploring the dataset
# ### Read in t... | nlp_with_python_for_ml/Exercise Files/Ch01/01_04/Start/.ipynb_checkpoints/01_04-checkpoint.ipynb |
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# # OpTaliX to CodeV to RayOptics / Rayopt... | _build/html/_sources/OpTaliX_CodeV_RayOptics.ipynb |
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