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# # Crime Analysis
# ## Team 6
# ### <NAME>, <NAME>, <... | crimes.ipynb |
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# %config Application.log_level="DEBUG"
from structur... | examples/cofs.ipynb |
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# + [markdown] id="ANB3P8Einwt2"
# # Shape Gen Graph G... | colab_generative_v1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Q_learning/Q_Learning_tic_tac_toe.ipynb |
# -*- coding: utf-8 -*-
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display(HTML("<style>.cont... | Multivariate_Normal_Dist_Examples_Julia.ipynb |
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import networkx as nx
import matplotlib.pyplot as plt ... | real_world.py.ipynb |
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# + [markdown] id="xXHciiU1ob3I" colab_type="text"
# #... | TensorFlow/TP2 LR as NN/First NN with LR_todo.ipynb |
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# # Traveling Companions
#
# In this activity you will... | 01-Lesson-Plans/05-Matplotlib/2/Activities/08-Stu_Travel-Part1/Unsolved/traveling_companions.ipynb |
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# # Setup
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# %matplotlib inline
from plotting_hel... | deepscm/experiments/plotting/morphomnist/interactive_plots.ipynb |
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# # Analysis Frequentist Approach
# This tutorial sho... | docs/src/tutorials/AnalysisFrequentistApproach.ipynb |
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import json
# %run ../Python_files/util.p... | 01_INRIX_data_preprocessing_journal18/INRIX_data_preprocessing_08_aggregate_speed_data_journal_AM.ipynb |
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# + id="3VLQuhT3XOh1" colab_type="code" colab={"base_uri": "https://localhost... | matrix_one/day3.ipynb |
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# # NEURAL NETWORKS
#
# This notebook covers the neura... | neural_nets.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fr... | notebooks/FWHM-angle.ipynb |
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# # NONRAD Tutorial
#
# This notebook serves as a... | notebooks/tutorial.ipynb |
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# The CoinMarketCap API is a suite of high-performance... | API-CoinMarketCap.ipynb |
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# ### SVD/PCA brainstorm
#
# 1. Optimize: <br>
# -... | drafts/.ipynb_checkpoints/SVD-checkpoint.ipynb |
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# # 20191303 - My data exploration lab notes
# # Mini... | dataexp.ipynb |
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import sys
sys.path.append('./home/aistudio/work')
# ... | bert_pretraining/Bert_Pretraining.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RiyaAssignday5.ipynb |
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# <img src='https://www.anadronestarting.com/wp-conten... | Lecture03 - Fashion MNIST.ipynb |
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# <a href="https://colab... | Natural_Language_Processing_with_RNNs.ipynb |
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# + [markdown] _cell_guid="88e8ec6d-76e5-5f12-d9a6-2b4... | Iris Dataset/Visualizing KNN, SVM, and XGBoost on Iris Dataset/Visualizing KNN, SVM, and XGBoost on Iris Dataset.ipynb |
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from __future__ import print_function
# %matplotl... | Script-030d-SM-WLS-sedim_thickness.ipynb |
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# # Operators
# Operators are special symbols in Pyth... | Python Programs for YouTube/1_Introduction/.ipynb_checkpoints/5_operators-checkpoint.ipynb |
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from xinet import utils
from xinet import ten... | Untitled.ipynb |
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# + [markdown] colab_type="text"
# # Object Detection ... | examples/vision/ipynb/retinanet.ipynb |
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# # McStasScript introduction
# This notebook shows ho... | tutorial/McStasScript_tutorial_1_the_basics.ipynb |
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# + [markdown] id="2UJd0JTpVx8Y"
# # Twitter API
#
# #... | 02-python-201/labs/APIs/03_Twitter_API.ipynb |
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# # Feature Generation
#
# You can provide more inform... | notebooks/feature_engineering/raw/tut3.ipynb |
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# # Document classifier
# ## Daten
# - Wir brauchen z... | 14 Text und Machine Learning/2.4 Classifying Text.ipynb |
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# ## **Python Object Oriented Programming**
# Python ... | Introduction to OOP.ipynb |
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# # Structured Query Language (SQL)
# <!-- requirement... | Day 3/SQL_Tutorial.ipynb |
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# # [Advent of Code 2021: Day 5](https://adventofcode.... | AoC 2021/AoC 2021 - Day 05.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/ClassDiagram.ipynb |
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# # PyTorch Computer Vision Samples
#
# In this tutorial, we will learn how t... | notebooks/TorchVisionSamples.ipynb |
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import geopandas as gpd
import pandas as pd
from s... | LA Bikes.ipynb |
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import os
import glob
os.getcwd()
assert o... | notebooks/Affinity_Segmenter.ipynb |
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# ### Scroll Down Below to start from Activity 15
# R... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/MARKETING_DATA_SCIENCE/01_Data_Science_for_Marketing_Analytics/Part_08/01_Activity_15_17.ipynb |
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# + [markdown] id="6PCaAU1y66FE"
# # Benchmark `nlpo3.se... | nlpo3-python/notebooks/nlpo3_segment_benchmarks.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# Built-in... | train.ipynb |
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# ### Summery
# <pre>
# Author : <NAME>
# Pr... | code/obsolete/Detection of Pneumonia from Chest X-Ray Images 1.0.0.2.ipynb |
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## Introduction to the Interstellar Medium
### <NA... | observations/.ipynb_checkpoints/template_notebook-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Scott_Huston_LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing.ipynb |
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# #Table of Contents
# * [Fresnel reflection coefficie... | reflection_refraction/Reflection_Refraction.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | .ipynb_checkpoints/Act 1 programacio (1)-checkpoint.ipynb |
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# Contenido bajo licencia Creative Commons BY 4.0 y có... | notebooks/03_integracion_numerica.ipynb |
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# importing the libraries
import numpy as np
import pe... | code_dev/Peak-Info/Get_Peak_and_Classify.ipynb |
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# # Pruebas de bondad y ajuste
# # Introducción
#
# E... | TEMA-2/Clase15_PruebasDeBondadYAjuste.ipynb |
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import re
import nltk
import random
from nltk.toke... | notebooks/w2v_visualization.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | KNN_algo_iris_dataset_anju.ipynb |
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# # Bite Size Bayes
#
# Copyright 2020 <NAME>
#
# Lice... | 11_faceoff_soln.ipynb |
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# <img src="../../../files/refiniti... | Examples/2-Content/2.11-Estimates/EX-2.11.04-Estimates-ActualsKPI.ipynb |
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# # Python Interface
# For the C++ interface, see [her... | docs/jupyter/geometry/python_interface.ipynb |
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# ### 图像处理方法（Hough 直线识别）
# +
# -*- coding: UTF-8 -*-
... | HardWare/tools.ipynb |
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# # Introduction
# This notebook gives you an overvie... | .ipynb_checkpoints/main-checkpoint.ipynb |
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from keras.models import Sequential
from keras.lay... | keras/keras_CIFAR-10.ipynb |
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# ## Object Detection - YOLOv3
import numpy as ... | examples/example_notebooks/detector_YOLOv3.ipynb |
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# # Задания
from typing import List, Any, Dict, Optional
from col... | Tasks.ipynb |
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import pandas as pd
data_set = pd.read_excel('Data.xl... | Algorithms/AprioriAlgorithm/AprioriAlgorithm.ipynb |
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# # Market Basket Analysis
#
# The dataset can be foun... | market-basket-analysis/python-implementation/market-basket-analysis.ipynb |
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# <!--NAVIGATION-->
#
# <a href="https://colab.researc... | deep-learning/Convolutional_Neural_Networks.ipynb |
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import cv2
import numpy as np
import os
if not os.pat... | Hand_gusture.ipynb |
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# # Construct school interaction networks for reduced ... | code/sensitivity_analysis/construct_school_networks_reduced_class_sizes.ipynb |
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# + [markdown] id="GB9hB7hZjNFM"
# ###**Project: evaluating salary of develop... | Project1_Thiago_Gavioli_UdacityDSV2.ipynb |
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# + [markdown] id="a_VmAfWSBJs7"
# <img width=150 src=... | Sample/Day_19_Sample.ipynb |
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# # Numbers and more in Python!
#
# In this lecture, w... | 00-Python Object and Data Structure Basics/01-Numbers.ipynb |
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# name: python388jvsc74a57bd07338908a690125025... | 00.ipynb |
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# ## machine IRM intelligente: predection et dépistage... | smart mri machine .ipynb |
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# # Support Vector Machines - Example Project
# Suppo... | support-vector-machines/Support Vector Machines - Example Project.ipynb |
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# Connect to the database
import pymysql
from sqla... | week3/3.08_lab_predictions_logistic_regression_solution.md.ipynb |
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# %matplotlib inline
import numpy as np
import pan... | demographics-p3.ipynb |
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# # Feature Engineering
#
# In this notebook we'll st... | working_notebooks/anastasias_notebook.ipynb |
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#libraries
import requests
import json
import time
imp... | .ipynb_checkpoints/Cleanupdatajw-checkpoint.ipynb |
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# Name: <NAME>
import numpy as np
import pandas as pd... | solutions/mid1/submissions/zhuzihan_170941_6241852_Midterm Zihan Zhu.ipynb |
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# <center>
# <img src="../../img/ods_stickers.jpg">
# ... | assignments/demo/assignment10_flight_delays_kaggle.ipynb |
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#
# ### 26-Jan-2020
import os
import numpy as np
imp... | 3. Data Exploration.ipynb |
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# # Tutorial IV: Constructing variational algorithms
... | examples/tutorial_4_variational.ipynb |
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# +
import torch
import torch.nn as nn
import time
imp... | deepgravewell/att_vis.ipynb |
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# ### CALCULATE FEATURES BASED ON FOOD INSPECTION DATA... | CODE/23_generate_model_data.ipynb |
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# # Machine Intelligence II - Team MensaNord
# ## Shee... | sheet08/sheet08.ipynb |
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import re
def clean_ma(ma):
ma = re.sub("([\(\[]).... | notebooks/multi_task_setup.ipynb |
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# + [markdown] id="tdBxw5Nn5ySP"
# # Import stuffs
# + id="nHpz38mv5c5y" exe... | (13)Play_With_Data.ipynb |
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# # A Whale off the Port(folio)
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#
# In this ... | whale_analysis_starter.ipynb |
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import pandas as pd
import numpy as np... | WebApp.ipynb |
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# %load_ext... | notebooks/multiscale-trn-shapley-values.ipynb |
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# # `git`, `GitHub`, `GitKraken`
#
# <img style="float... | Modulo1/Clase2_GitTutorial.ipynb |
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# # Calculating pi using Monte Carlo methods
# ## Rel... | darts.ipynb |
# # Importance of decision tree hyperparameters on generalization
#
# In this notebook, we will illustrate the importance of some key
# hyperparameters on the decision tree; we will demonstrate their effects on
# the classification and regression problems we saw previously.
#
# First, we will load the classification an... | notebooks/trees_hyperparameters.ipynb |
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# + [markdown] id="OCrpI0flVW78" colab_type="text"
# # Set up run
# + id="PC... | obsolete_scripts.dir/GL_delineation.ipynb |
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import numpy as np
a = np.array([1,2])
b = np.array([... | QPpolicy/.ipynb_checkpoints/Rough Work-checkpoint.ipynb |
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# Зависимости
import pandas as pd
import numpy as ... | 2021 Весенний семестр/Практическое задание 6/Суминов - задание 6.ipynb |
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# # Exercise List 5
# Utilizando o Apache Spark e dem... | pyspark/exercise_list_05.ipynb |
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# + [markdown] colab_type="text" id="yoiTUC_zXAb9"
# # 実践編: ディープラーニングを使った配列解析... | notebooks/07_DNA_Sequence_Data_Analysis.ipynb |
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# # Writing Custom Dataset Exporters
#
# This recipe d... | docs/source/recipes/custom_exporter.ipynb |
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# # Module 1: Introduction to Python
#
# Python is a h... | tutorial/tutorial.ipynb |
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# ## TVP-VAR, MCMC, and sparse simulation smoothing
#... | examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 02_analiza_danych/06_sql_porownanie.ipynb |