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"""
17. How to compute the mean squared error on a truth and predicted series?
"""
"""
Difficulty Level: L2
"""
"""
Compute the mean squared error of truth and pred series.
"""
"""
Input
"""
"""
truth = pd.Series(range(10))
pred = pd.Series(range(10)) + np.random.random(10)
"""
# Input
truth = pd.Series(range(10))... | pset_pandas_ext/101problems/solutions/nb/p17.ipynb |
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# + id="KWRAbsYfeuQn" colab_type="code" outputId="67dc3c10-c34c-4fc5-fe46-d89... | AdmissionPredictorNN.ipynb |
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# + id="Agebac83jwLd"
import pandas as pd
import numpy as np
import io
import... | notebooks/LandCostAveragePerYear.ipynb |
# +
# Copyright 2010-2018 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | examples/notebook/constraint_solver/vrp_starts_ends.ipynb |
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# + [markdown] deletable=true editable=true
# # Numpy ... | Week01/01-Numpy.ipynb |
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import pandas as pd
import numpy as np
import math
im... | notebooks/Cool ideas...but not working/Test_NeuralNetwork-Highenergy_RegressionSpectrum.ipynb |
-- -*- coding: utf-8 -*-
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-- # 5. List com... | PiHchap05.ipynb |
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import numpy as np
from load_data_df import *
# # Dat... | circuits/plots/exp_001_design_complexities.ipynb |
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import numpy as np
import pandas as pd
import matp... | Time Series Analysis.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | P1.ipynb |
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import logging
import pandas as pd
from pandas imp... | unicef_schools_attribute_cleaning/notebooks/sierra_leone_demo.ipynb |
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import pandas as pd, numpy as np, mat... | code/.ipynb_checkpoints/countryparser-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="rX8mhOLljYeM"
# ##### Copyright 2019 The... | site/ar/tutorials/quickstart/beginner.ipynb |
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import torchvision.datasets as datasets
f... | MNIST Dataset.ipynb |
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# ----------------
# # Spiegazione
# <img src="fig/hea... | 5_analysis/matrix_analysis.ipynb |
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# # Contrasts Overview
import numpy as np
import stat... | examples/notebooks/contrasts.ipynb |
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# <small><i>This notebook was prepared by [<NAME>](htt... | arrays_strings/hash_map/hash_map_challenge.ipynb |
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# <img style="float: left; margin: 30px 15px 15px 15px... | TAREA_4. VazquezVargas_Cristina_NavarroValencia_Dayana.ipynb |
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import os
import cudf
from cuml import neighbors
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# + [markdown] id="qn8CLGQ1U_sw"
#
# Assignment 1 Part 1: Graph Class
# + id... | assets/EMSE6574/Week2_Assignment.ipynb |
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# # Initialization
#
# Test notebook for the C-MAPPS b... | code/TestArchitectures.ipynb |
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import json
import yaml
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import pandas as pd
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# %aiida
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import numpy as np
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from charistools import hypsometry, modis_info
from ne... | charis/Playing with charistools.ipynb |
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import pandas as pd
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# # Regression
# ### a. Importing Libraries
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impo... | linear_regression/linear_regression.ipynb |
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# # Daten, wir brauchen Daten!
#
# Das Presseportal ve... | code/01_daten_wir_brauchen_daten.ipynb |
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# Importing Required Python Packages
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from project_functions_Mete import load_an... | notebooks/ungraded/mete_cil_wfunctions.ipynb |
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# # Sense and Move
#
# In this notebook, let's put all... | 4_2_Robot_Localization/9_1. Sense and Move, exercise.ipynb |
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# # Fairness part of the Workshop
# Analyze fairness o... | notebooks/cf_fairness.ipynb |
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# + colab={} colab_type="code" id="OG2JlAXx3VoJ"
#Decl... | Amit/Amit_String_Assignment.ipynb |
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# Will solve:
#
# https://github.com/CONABIO/kube_sipe... | MAD_Mex/notebooks/3_issues_and_nbooks/1_issue_14_basic_setup_in_AWS_for_MAD_Mex_classif_pipeline.ipynb |
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# # Occupation
# ### Introduction:
#
# Special thanks... | 03_Grouping/Occupation/Solutions.ipynb |
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# Full netCDF4 module documentation http://unidata... | examples/netcdf4_datapackage/NetCDF4_writer.ipynb |
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from pyspark.sql import SparkSession
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import json
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# # Skip-gram Word2Vec
#
# In this notebook, I'll lead you throug... | word2vec-embeddings/Negative_Sampling_Exercise.ipynb |
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# In this tutorial we'll use pandas and seaborn. If yo... | tutorials/2 - Train flows - concrete.ipynb |
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# # TV Script Generation
# In this project, you'll gen... | dlnd_tv_script_generation.ipynb |
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# # Sketch Classifier for "How Do Humans Sketch Object... | Chapter07/Notebooks/Training/CNNSketchClassifier_3_Visualise.ipynb |
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# ### Import Libraries
# import the necessary package... | detect_mask_live.ipynb |
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import torch
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# # Troubleshooting node id's
#
# <NAME>, July 2018
#
... | summer-2018-model/notebooks-sam/Node-id-troubleshooting.ipynb |
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# ## Pre-processing and Training Data Development
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# ### Integral BL code for cylinder
include("... | Notebooks/BL_cyl.ipynb |
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# ### Part 1
# #### Code that downloads the page to yo... | Scraped Hotel Listings.ipynb |
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# # ETL Pipeline
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# ### 1. Import libraries and load ... | dev/ETL Pipeline Dev.ipynb |
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# # Pre-process Allen Brain morphology data
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# %ma... | process_allen_morphology.ipynb |
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# # Predicting Boston Housing Price... | sagemaker_deployment/Tutorials/Boston Housing - XGBoost (Deploy) - Low Level.ipynb |
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# header files
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# # Codebook
# **Authors:** <NAME>
# Documenting ... | Expenditure_Gov_India_2017-18_2019-20/Expenditure_Gov_India_2017-18_2019-20.ipynb |
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# The pupose of this notebook is to illustrate the use... | Webcrawler_Tutorial.ipynb |
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in... | doc/notebooks/Sympy derivatives of alphar from VTPR.ipynb |
# -*- coding: utf-8 -*-
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# <a id='mccall'></a>
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# !python -m spacy download en_core_web_sm
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from ... | tensorflow/notebooks/keras/4_Auto-encoders-with-keras.ipynb |
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# #### 1. Write a Python program to print ... | Python/Basic - Part-I/Python basic Part - I .ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="DIhNg2zIIn43" outputId=... | Utils/evaluate_model.ipynb |
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import sqlite3
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# name: python395jvsc74a57bd043b94212bc69ae27b3b77c1401213... | Week 1- Measuring Max Drawdown.ipynb |
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# # Generate and visualize toy data sets
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# + [markdown] id="VYfg3I_fSt6e"
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#
# This noteb... | 1_Pagine_gialle.ipynb |
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# # "Non-Intrusive Load Monitoring - NILM"
# > "A sour... | _notebooks/2020-12-30-NILM.ipynb |
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#default_exp crawler
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#hide
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# + [markdown] id="PkQNSCoX38Ba"
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# + id="qKIsKr1RJl94" executionInfo={"status": "ok", "timestamp": 16308261807... | Titanic/Titanic.ipynb |
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# # Now You Code 2: Is That An Email Address?
#
# Let'... | content/lessons/07/Now-You-Code/NYC2-Email-Address.ipynb |
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# ## Word clouds
... | word_clouds.ipynb |
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# # Python Documentation
#
# * Main Python Site: www.p... | Beginning Python - Sequences, Mapping, Files, and Functions.ipynb |
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# ### Import all the relevant libraries
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# ## Problem 1
# With this code, we first open and rea... | Exams/.ipynb_checkpoints/Exam_2_Answers-checkpoint.ipynb |
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# This is hamoye Data science track introduction to py... | SectionA.ipynb |
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# + [markdown] id="wkNujasdKO2d"
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