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# ## 利用信息抽取技术搭建知识库
#
# 在这个notebook文件中，有些模板代码已经提供给你，但你还... |
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# # WeatherPy
# -... |
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# ## Read data
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# # Lab 4: Linear Classifiers
# Machine Learning 2020/... |
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# # Credit Card Kaggle- Fixing Imbalanced Dataset
#
#
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from sympy import *
init_printing()
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# # ChoiceNet for Regression
import nbloader,os,warni... |
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# + id="7UgxMWEAMJFu"
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# + [markdown] id="view-in-github" colab_type="text"
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# # How to optimize a simple 1D function
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# In this tuto... |
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## Process AlpArray Switzerland for SKS-Splitting
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# 1. Make predictions based on majority voting
# 2. Re... |
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from scipy.sparse import *
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# + id="Wx-OHFs-hk8Z" colab_type="code" colab={"base_u... |
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from pyhht.visualization import plot_imfs
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# default_exp eda.overlap
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# + [markdown] id="bM393A6EopOm"
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# # librosa 2015 presentation updated calls
# > A tuto... |
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# <NAME>,
# Professorship Signal Theory and Digital Signal ... |
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# + deletable=false editable=false
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# ## Observations and Insights
#
# # 1. There is a ... |
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# # Results, section 3:
import os, sys
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# When searching for networks using AMC, we need to... |
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# # Generalized Huber Regression
# This notebook illus... |
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# # Illustration of predict
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# To store the data
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# ### 3-ColumnarStructureIndexing
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# Basic imports
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# Import Packages
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# # Кратчайшие пути
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# # Collaborative Filtering
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# cd '/kaggle/working'
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# ### Imagenet
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# + id="yjs9gbQgA_mR"
# !cp -r drive/MyDrive/BAMT-master .
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# # Demos: Lecture 17
# ## Demo 1: bit fl... |
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# ## Packages
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import os.pat... |
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# # Imports
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#hide
from nbdev import show_doc
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# # Think Bayes
#
# Second Edition
#
# Copyright 2020 ... |
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# # get_border
# ## Import packages
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# This cell is for the Google Colaboratory
# https://s... |
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# # Self-Driving Car Engineer Nanodegree
# # Behaviour... |
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import numpy as np
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# Bibliotecas
import pandas as pd
from... |
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# + id="8kdsGkYJXXKc"
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# + id="Ni-S5vEtIRmb" colab={"base_uri": "https://localhost:8080/"} execution... |
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# ## Programming assignment | Корреляционный анализ
#... |
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# # B-splines FEM solver for Poisson equation (2D)
#
... |
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# default_exp utils.common_utils
# -
# # Common utils
# > A collection o... |
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import sympy as sym
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