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import pandas as pd
import numpy as np
import warnings... | Revidly_Recommender_System.ipynb |
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# <a name="loesung07"></a>Lösung Übung 07
# ===
# +
#... | 07-loesung.ipynb |
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# # Data Science Project 1 - Seattle AirBNB
# ### 1. ... | DSP1_Seattle_AirBNB_Analysis.ipynb |
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# # Using HII region catalog data
# + [ma... | notebooks/example.ipynb |
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# # Administering your GIS
#
# ArcGIS administrators c... | guide/03-the-gis/administering-your-gis.ipynb |
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# %matplotlib inline
import matplotlib
import matp... | DTW Test.ipynb |
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# # Section 3.2
import numpy as np
from numpy.random ... | Python_memoire/.ipynb_checkpoints/Section3_2-checkpoint.ipynb |
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# ## 5.1 基本介绍
#
# 表格是展现数据的一种常用方式。LaTeX提供了多种表格环境用于制作各类表... | chapter-5/section1.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # 1... | course_material/12_Semantics_1/12_Semantics_1_lecture.ipynb |
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# ## Gradient Descent (in general)
import numpy as np... | 9. Linear Regression/Linear Regression/01_Gradient_Descent.ipynb |
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# name: pythonjvsc74a57bd0827f31c7a17f115185da69808fd256ce792d94cfe... | external_code/xwas/multivariate/tries.ipynb |
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# # Deploys a PMML model to IBM Watson Machine Learnin... | deploy/deploy_wml_pmml.ipynb |
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# Most examples work across multiple plotting backends. This example is also available for:
#
# * [Bokeh - route_chord](../bokeh/route_chord.i... | examples/gallery/demos/matplotlib/route_chord.ipynb |
# -*- coding: utf-8 -*-
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# # Generative Models
# So far we have explored... | notebooks/generative.ipynb |
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from tensorflow.keras import Model
from tensorflow.ker... | Development/Transfer_Learning.ipynb |
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# <h1 align="center">Welcome to SimpleITK Jupyter Note... | Python/00_Setup.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Marshak Wave 3T/show.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Week 1 - Programming Fundamentals/CpE_Programming_101_b_Python_Fundamentals.ipynb |
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# This notebook contains plots of various statistical ... | models/metrics/metrics.ipynb |
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# ## 追加事例1 欠陥・疾患判定の自動化 (2値分類と再現率)
# ### 共通事前処理
# 日本語... | notebooks/ac_01_heart_disease.ipynb |
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#default_exp bbox_east_inference
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#export
from fastai i... | nbs/05_bbox_east_inference.ipynb |
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# <h1>Segmenting and Clustering Neighborhood... | Segmenting_and_Clustering_Neighborhoods_in_Toronto.ipynb |
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BRANCH = 'main'
# + colab={} colab_type="... | tutorials/nlp/Punctuation_and_Capitalization.ipynb |
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# # Probabilistic CFG parsing
# This... | notebooks/.ipynb_checkpoints/WSTA_N6_probabilistic_parsing-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/02_loops_condicionais_metodos_funcoes/12_exercicio_calculadora.ipynb |
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# ## Making multipanel plots with matplotlib
# ### Fi... | Plotting_Examples.ipynb |
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# # Answer 1
a=list(map(int,input().split()))
b=list(... | DAY_5_ASSIGNMENT .ipynb |
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# + id="6AoPkeUKTD7r" colab_type="code" outputId="3579416e-7b1a-4059-a98c-b92... | kidney.ipynb |
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import pandas as pd
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import matplotlib.pyplot... | notebooks/StatisticsPlotting.ipynb |
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# <a href="https://colab... | Assignment3.ipynb |
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# + [markdown] id="EheA5_j_cEwc"
# ##### Copyright 201... | tf_quant_finance/examples/jupyter_notebooks/Monte_Carlo_Euler_Scheme.ipynb |
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# # Tips and Tricks in Python
# This `notebook` contai... | experiments/tips-n-tricks.ipynb |
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# ## Bayesian Calibration: Falling Ball
# To illustra... | examples/Example_Falling_Ball.ipynb |
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from pyids.data_structures import (
IDS,
I... | jupyter_notebooks/IDS Problems - Different Scales of Objectives.ipynb |
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from keras.models import load_model
import numpy a... | front_end/model_predict/Untitled.ipynb |
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# # Creating a Heatmap of Vector Results
# In this no... | jupyter-notebooks/analytics/change_detection_heatmap.ipynb |
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# name: python392jvsc74a57bd0249cfc85c6a0073df... | categorical-features/sklearn-onehot-encoding-mixedtype-df.ipynb |
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import cv2
import numpy as np
def dra... | image processing/8 - Mouse as Paint bursh.ipynb |
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# # Variational Quantum Regression
# $\newcommand{\ket... | content/ch-demos/variational-quantum-regression.ipynb |
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# ## Testing the accuracy of my self-devel... | notebooks/exploratory-questions/q2-accuracy-of-self-developed-metric-functions.ipynb |
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# This notebook cre... | ext_runs/run_deconstructSig/make_inputs_fitting_adults.ipynb |
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# # PRMT-1985 [HYPOTHESIS] A high proportio... | notebooks/30-PRMT-1985--a-high-proportion-of-pending-transfers-are-caused-by-a-small-group-of-practices.ipynb |
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# # Introduction
# This project based on ... | Datascience_With_Python/Deep Learning/Projects/Social Distancing Detection using Yolo4/Social Distancing Detector using YOLO V4.ipynb |
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# + [markdown] deletable=true e... | notebooks/Heart_Failure_Predictor.ipynb |
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# /* =====================================... | src/example/runs/Davis_Skodje/Plot_Davis_Skodje.ipynb |
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import astropy.units as units
import numpy as np
from ast... | 202201_compare_d9.ipynb |
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# %matplotlib inline
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# name: python37464bitbaseconda35d80c16556646a... | research/audioset/yamnet/yamnet_visualization.ipynb |
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# + id="iRWFgIbnzajB"
pip install -q yahoo... | TestLocal.ipynb |
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# # Interpolation Theory
# Interpolation is a method o... | interpolation.ipynb |
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# ### 021 문자열 인덱싱
# letters가 바인딩하는 문자열에서 첫번째와 세번째 문자를 ... | python_algorithm/pyPractice/p021to030.ipynb |
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# # Question 100 - Reddit comment activity
# SQL Datab... | interviewq_exercises/q100_sql_subreddit_activity.ipynb |
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# # The Predictor to Permit Loan
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# ## A note o... | python/coursera_python/ML_WITH_PYTHON_IBM/Proj/Loan_Prediction_Project.ipynb |
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# # Example of DOV search methods for boreholes (borin... | docs/notebooks/search_boringen.ipynb |
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import requests
import json
import numpy a... | notebooks/download_api_cartola.ipynb |
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# [](https://cloudevel.... | 10_introduccion_a_yaml.ipynb |
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# + id="pOcABxXpdMfz"
# Importing the Necessary Librar... | Pneumonia_Ensemble of Classifiers.ipynb |
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# ## A com... | Complain_Response_Time.ipynb |
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# # Data Structures
import numpy as np
im... | notebooks/01_data_structures.ipynb |
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# # Character Classification - Data Mining
# Simple UI... | jypeter/CharClassificationDM.ipynb |
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import matplotlib.pyplot as plt... | 2018-2019/assignment 8 (DQN & PGT)/dqn/garbage (do not use)/space invaders/Plot_decaying_eps.ipynb |
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# +
# empty tuple
tup1 = ()
tup1
# a tuple with single... | Python Basics Day - 2-TUPLES.ipynb |
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#Import Spacy
import spacy
import pandas as ... | syllabus/classes/class3/class_3_exercises.ipynb |
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# name: python391jvsc74a57bd05fa8e3bf1d80593b2522eb49b05802bf81cf73591... | visualization/elephant/elephant2.ipynb |
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# Loading the model
#Reading libraries
impo... | Test model.ipynb |
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# # Trust Scores applied to MNIST
# It is important t... | examples/trustscore_mnist.ipynb |
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# # Generate a MR spectroscopic imaging (MRSI) NIfTI-M... | example_data/data_generation/example_04_manual_conversion_mrsi.ipynb |
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# # k-means clustering
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import numpy as np
import ... | notebooks/clustering/kmeans.ipynb |
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# this worksheets is part of the [mlvu machine learnin... | Worksheet 3, Pandas.ipynb |
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import sqlite3
import pandas as pd
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# # Introduction to Data Science – Regular... | 21-nlp_regex/lecture-21-regex.ipynb |
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# + [markdown] id="4TD1_1CI5g8I"
# # LAB7 Introduction to numerical analysis... | Lab07/lmbaezaAlgorithmicToolboxWeek1Quadratic.ipynb |
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# # Fingerprints on fingertips
#
# - toc: tru... | _notebooks/2021_10_04-fingerprints.ipynb |
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# # Overview of `matplotlib`
# So far in our course, ... | courses/python/material/ipynbs/Visualization with Matplotlib.ipynb |