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import numpy as np
import matplotlib.pyplo... | code/nn/Deep Learning Class - Softmax.ipynb |
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# # Tarea 3. Aprendizaje en LÃnea de Regresión lineal
... | modulo1/tema4/tarea3.ipynb |
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# + [markdown] id="Ic4_occAAiAT"
# ##### Copyright 2020 The TensorFlow Author... | site/ja/tutorials/interpretability/integrated_gradients.ipynb |
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# %pylab inline
import seaborn as sns
import pand... | notebooks/How to generate priors - ICU LOS.ipynb |
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import sympy as sm
import sympy.physics.mechanics as m... | content/notebooks/differentiation.ipynb |
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# # Cluster configuration
#
# ### References:
# * http... | expandInputGen.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CHALLENGE___COMPARE_MACHINE_LEARNING_CLASSIFICATION_ALGORITHMS.ipynb |
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# Suggestions for lab exercises.
# # Variables and as... | Exercises.ipynb |
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# # Introduction to Python
#
# Since its first release... | workshop-resources/data-science-and-machine-learning/Data_Science_1/workshop-materials/1-Python.ipynb |
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from IPython.core.display import display, HTML
display(HTML("... | notebooks/classifiers_playground/bounding_box_classifier/classifier_1D__bounding_box_classifier__gen_stays_illustrate_metrics_v2.ipynb |
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import os
import pandas as pd
import numpy as... | DisplayResults.ipynb |
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# # Gaussian processes 101
#
# In this notebook, I dem... | notebooks/01_gp_basics.ipynb |
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# # "Risks by State"
# > "subtitles"
# - toc: true
# - math: true
# - badges:... | _notebooks/2020-04-27-test_chloropeth.ipynb |
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# # Tutorial: Learn how to use Datasets in Azure ML... | work-with-data/datasets/datasets-tutorial/datasets-tutorial.ipynb |
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from jpl import jpl
from constants import constants as... | JPLExample.ipynb |
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import os
os.chdir('/home')
import gym
import ten... | notebooks/RunAgent.ipynb |
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# # Overview
#
# This week we'll get started on modern... | lectures/Week3.ipynb |
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# # Hyperparameter Tuning usi... | hyperparameter_tuning/keras_bring_your_own/hpo_bring_your_own_keras_container.ipynb |
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import re
import os
import copy
import matplotlib.pypl... | sensor_fusion-Copy1.ipynb |
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import os
import ast
import networkx as nx
from copy i... | quchem_examples/NEW - noncon H graph.ipynb |
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# # Validation Set
# # Hold_out Validation
import pa... | Validation set.ipynb |
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import numpy as np
import gym
import random
gym.Env
... | Chapter16/Frozen Lake with Q Learning.ipynb |
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import ofanalysis.utility as ut
im... | Runtime_Env/fund_analysis/Step1_FirstRound.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | DSA-Python-Cap02-Exercicios-Solucao.ipynb |
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# # Visualization and data analysis of output indicato... | analysis/analysis-within-city-maps.ipynb |
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import random
import numpy as np
import matplotlib... | AD 2020/adDS 05 Convex Hull/convex-layer data(b)/.ipynb_checkpoints/Finding Convex Layer-checkpoint.ipynb |
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# # Data cleaning
#
# I have use the data from kaggle(... | IPL.ipynb |
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# # Modeling Traffic Congestion using Weather
# Acc... | samples/Weather Based Traffic Prediction.ipynb |
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# # Gaussian Mixture
#
# One can see this unsupervised... | src/Gaussian Mixture.ipynb |
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import logging
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# + active=""
# 诎æïŒ
# ç»å®äž€äžªå笊䞲såtïŒçŒåäžäžªåœæ°ä»¥ç¡®å®tæ¯åŠæ¯sçåè°... | Hash Table/0903/242. Valid Anagram.ipynb |
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import gdown
import pandas as pd
# Descargamos las im... | Proyecto/Get data.ipynb |
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# + [markdown] toc=true
# <h1>Table of Con... | Phase_2/ds-chi_square-nbz32-main/chi_square.ipynb |
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# # Ziolkowski et al. (2007), Figure 3
#
# Reproduced ... | ziolkowski-etal-2007/Ziolkowski-etal-2007_Figure-3.ipynb |
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# + deletable=true editable=true
import heapq
import j... | BootStrap.ipynb |
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"""Implementation of Pointer networks: http://arxiv.or... | main.ipynb |
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# %matplotlib inl... | climate_starter.ipynb |
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# + id="YGF-i1bkt0We" outputId="a530f47c-66ec-4368-9917-c686e1f9671d" colab={... | notebooks/plummer_sphere_example.ipynb |
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from lsst.si... | young_stars_counts.ipynb |
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# # Week 12 Team Activity
# ## Assignment
... | jupyter-notebook-CSE-110/.ipynb_checkpoints/week12-team-activity-checkpoint.ipynb |
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# Importing matplotlib, "in line"
# %matplotlib inline... | materials/tutorials/tutorial-qiskit-introduction-juan-sanchez-toural/quantum-entanglement-of-states-bell-state.ipynb |
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# + id="kapFi2Sx-qis" colab_type="code" colab=... | Logistic_Regression-Overdraft.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DEMO1.ipynb |
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# ## 1. Boston and San Francisco Airbnb - Data Wrangli... | 1. B & S Airbnb Data Wrangling.ipynb |
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# # Updating dataset databases
# ## Setup
# +
import json, ppri... | metaspace/python-client/docs/source/content/examples/update-dataset-databases.ipynb |
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import sys
sys.path.append("..... | notebooks/DatasetExtraction.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | application_materials/Project1/Homework2.ipynb |
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# # Peer-graded Assignment: Build a Regressi... | Coursera/IBM Python 01/Course03/KerasAssignment.ipynb |
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# # Predict heart disease
#
# This notebook is used to... | end-to-end.ipynb |
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from miscpy.utils.sympyhelpers import *
init_printing(... | Notebooks/Angular Velocity.ipynb |
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import k3d
import k3d.platonic as platonic
import ... | examples/platonic.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/Train XGBM/14-melanoma-5fold-xgbm-random-param-search.ipynb |
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import os
import pandas as pd
from bs4 import Beautifu... | mission_to_mars/mission_to_mars.ipynb |
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# #### 1. IoT is defined as
#
# #### "A network of int... | Coursera/A developer's guide to the Internet of Things (IoT)/Week-1/Quiz/IoT-Quiz.ipynb |
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# # Multiple Functions
# ## Create and Deploy a Pack... | tutorials/faas/multiple_functions_and_modules/chapter.ipynb |
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import numpy as np
import matplotlib.pyplot a... | labeldata.ipynb |
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import matplotlib.pyplot as plt
import tensorflow ... | VNN/notebooks/network_experiments/mnist/test1_2.ipynb |
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from losses import Loss
from layers import Function, L... | MoSeka/net.ipynb |
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# # 埪ç¯
# - 埪ç¯æ¯äžç§æ§å¶è¯å¥åéå€æ§è¡çç»æ
# - while éçšäºå¹¿åºŠéå
# - fo... | 7.19.ipynb |
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#
# ___
# # Linear Regression - Project
#
# Given belo... | Linear Regression - Project Exercise - Solutions.ipynb |
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import matplotlib
import numpy as np
import matplotli... | individ.ipynb |
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# # load library
# + code_folding=[]
# #!/usr/bin/en... | code/preprocessing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | CharLM/CharLM-Solutions.ipynb |
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import ... | test_notebooks/20170911_display_scisheet_widget.ipynb |
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# # geomatics
# a python tool for timeseries of multid... | demos/demonstration.ipynb |
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# %matplotlib nbagg
import numpy as np
import mat... | matplotlib_exercise/displayAnimation.ipynb |
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# # Beer sales price regression
# +
# load libs
impo... | beer-sales-price-reg-in-py.ipynb |
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import requests
import pandas as pd
pd.set_option(... | Zfp110 GFP ChIP Seq Top Targets.ipynb |
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# + [markdown] azdata_cell_guid="5f949b05-5fa3-41fb-bb23-3b136a5af4d6"
... | content/00_OperationalizeSQLBackupsWithRubrik.ipynb |
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from __future__ import division
from __future__ im... | profiling_gcn.ipynb |
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import os
import sys
module_path = os.path.abspath(os.... | CFMM_for_DFT/tests/test_on_box_indexing.ipynb |
# -*- coding: utf-8 -*-
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# # Quasi-Newton
#
# This... | src/notebooks/Article-Experiment.ipynb |
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import numpy as np
import scipy as scp
from scipy impo... | FIR Coeffs.ipynb |
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# 
# ## Debugging
# ***
# A software bu... | 09_Debugging.ipynb |
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import pandas as pd
import json
import gzi... | notebooks/Schema/tabbie/tabbie_tables_lt.ipynb |
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# + id="b9gMC0LCIA8R"
import numpy as np
import pandas as pd
import matplotli... | pima_indians_diabetes.ipynb |
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# # Latin hypercube sampling
# <NAME> October 2019
# ... | examples/Latin hypercube sampling.ipynb |
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import scipy
scipy.__version__
# # Objective 4. Impor... | Code/.ipynb_checkpoints/O456_par_pipeline-checkpoint.ipynb |
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# # HW 6 Problem 1
# ## <NAME>
# The goal... | HW6_1.ipynb |
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import pandas as pd
import numpy as np
import matp... | models/interpretation/shap_classifier_iris.ipynb |
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# # Primer Puzzle
#
# ## Version 1
#
# Suppose in a ar... | 00_basic/primer_number.ipynb |
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# Journeys into HARK
# ======
#
# HARK is a tool desig... | examples/Journeys/Journeys_into_HARK.ipynb |
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# # Working with Data
#
# #### Part of the [Inquiryum ... | labs/WorkingWithData.ipynb |
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# ___
#
# <a href='https://mp.weixin.qq.com/mp/appmsga... | porto-seguro-safe-driver-prediction/Phase1/Numpy&Pandas/Numpy/01-NumPy Arrays.ipynb |
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import glob
import numpy as np
import pandas as pd... | New Thing - Same Shit/10_Kernel_SVM.ipynb |
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# ### Development Method
#
# 1. get public transport l... | SDG_11.2.1.ipynb |
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# <table>
# <tr><td><img style="height: 150px;" src="i... | .ipynb_checkpoints/AGII_chap05_modelling_fault-checkpoint.ipynb |
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# # Solving a superconducting system
#
# In the fo... | examples/6. Solving a superconducting system (Example).ipynb |
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# + id="CMWAv-Z46nCc" colab={"base_uri": "https://loca... | deepchem_practice.ipynb |
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# + [markdown] id="jVENwqYNsKfU"
# **Task 2**
# + [ma... | Task2_LGMVIP.ipynb |
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# + colab={} colab_type="code" id="AIOJoPEqvPfP"
impor... | notebooks/scraper.ipynb |
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# crypt core
# https://qiita.com/tomi_linka/items/... | tests/feauture-AES test.ipynb |
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import tensorflow as tf
import pandas as pd
## Define... | .ipynb_checkpoints/tensorflow-checkpoint.ipynb |
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# # Histograms
# ## Read data
import matplotlib.py... | notebooks/histograms.ipynb |
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def parse_json(file_path):
data={}
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import matplotlib.pyplot ... | Large_size_Res_Normal_GAN/res_GAN.ipynb |
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# # Sub-string in PySpark: -
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# + [markdown] id="view-in-github" colab_type="text"
#... | SESSION_17_(MLR_&_POLYREG).ipynb |