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# Importing the libraries
import numpy as np
impor... | Tutorials/SVR.ipynb |
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# # Loading and Processing Stock-Market Time-Series Da... | docs/tutorials/11_time_series.ipynb |
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# # Lesson 4 Class Exercises: Pandas Part 2
# With th... | class_exercises/D05-Pandas_Part2.ipynb |
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# [... | 02_CSS/05_texto_listas_tablas.ipynb |
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import pickle
import random
import numpy as np
import ... | viz_unknown_homoglyphs.ipynb |
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# # Notebook Tutorial on an Empty SAIL-ON Detector
#
# I... | scripts/create_empty_sail_on_protocol.ipynb |
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# data_prep.py
import pandas as pd
from pathlib i... | notebook/dev.ipynb |
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from os import path
from enmspring.graphs import Graph... | notebooks/draw_graph_basestack_eigenvector.ipynb |
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# + id="mULkvgCWZyyO"
# !rm -r /content/sample_data
# + id="z8sa4Bn9bP46"
# ... | model_sci/SciSpacy_in_Manual_Text.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplo... | misc/investigate_issue_17.ipynb |
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# Copyrig... | Random-forests-PS.ipynb |
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import nemo
import nemo.collections.nlp as nemo_nl... | examples/nlp/text_classification/sentiment_analysis_with_bert.ipynb |
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# %matplotlib inline
#
# ===================
# Tissot... | example-notebooks/surface_analyses/plot_tissots_indicatrix.ipynb |
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# \title{Continues HDL Sinewave Generator via Chebyshe... | myHDL_DigitalSignalandSystems/Synthesizers/myHDL_SinewaveGenerator.ipynb |
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# # Spreadsheet
#
# Make a spreadsheet... | examples/100.spreadsheet/spreadsheet.ipynb |
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# # DeepFact Check Project
# Note the dataset is not p... | Notebook-Main-Results.ipynb |
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pip install --upgrade pip
import sys
# !{sys.executab... | Resnet3D/Installation.ipynb |
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class Solution:
def generate(self, numRows: int) -... | easy/pascal's triangle 1.ipynb |
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# # Prueba para científico de datos
#
# ## Parte 1 - C... | Prueba.ipynb |
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# <img src="images/kiksmeisedwengougent.png" alt="Bann... | AIOpSchool/KIKS/DeepLearningBasis/0500_StomataDetectie.ipynb |
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# # Building The Heisman Dataset
# ***<NAME>***
#
#
# ... | notebooks/.ipynb_checkpoints/BuildingHeismanDataset-checkpoint.ipynb |
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# layout: single
# title: "GIS in R: custom legends"
# excerpt: " ."
# authors: ['<NAME>']
# modified: '{:%Y-%m-%d}'.format(datetime.now())
# category: [course-materials]
# class-lesson: ['hw-custom-legend-r']
# permalink: /course-materials/earth-analytics/week-5/r-custom-legend/
# nav-title: 'Create custom map l... | _posts/course-materials/earth-analytics/python/live/week-5/homework/2016-12-06-plot01-custom-legend-R.ipynb |
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# # COVID-19 Case Rates for States in Mexico
# [Work i... | notebooks/obsolete/CovidRatesByStatesMexico.ipynb |
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# # Inexact Move Function
#
# Let's see how we can inc... | 3-object-tracking-and-localization/activities/2-robot-location/7. Inexact Move Function.ipynb |
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# # Thermal Speed
# +
# %matplotlib inline
import ma... | docs/notebooks/thermal_speed.ipynb |
// -*- coding: utf-8 -*-
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// --... | 16 - Notes for Day 8, part 1.ipynb |
# -*- coding: utf-8 -*-
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# # Linear Regression
#
# ... | 5_LinearRegression.ipynb |
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import os, random, datetime, pickle
from datetime ... | RSN4KGC.ipynb |
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# ## 한국환경공단 대기오염 API를 이용한 미세먼지 데이터 가져오기
import reques... | chatbot/microdust/Total_Functions.ipynb |
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]activate .
using Semagrams, Catlab.Present, Catl... | notebooks/SemagramsTalkExamples.ipynb |
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import requests as r
import json
import bas... | src/10_scrape-repos/readme_notes.ipynb |
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from collections import Counter
import matplotlib.... | NoteBooks/Curso de Ciencia de datos/Statistics/DSFS - ESTADÍSTICA.ipynb |
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# based on: https://github.com/essentialsofparallelcom... | src_optimization/40_nonlinear_cg/e_roofline.ipynb |
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//%log:0
//%onlyruncmd
//%command:node --version
//... | example/Nodejs.ipynb |
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# # Outlier
# An outlier is an observation that lies o... | task2/src/.ipynb_checkpoints/Linear Regression Model-checkpoint.ipynb |
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# # Who voted what? - A dive into the Colom... | 2016/tutorial_final/59/2016_Colombian_plebiscite.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | speech_recognition_.ipynb |
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import numpy as np
import pandas as pd
imp... | jupyter_notebooks/.ipynb_checkpoints/africa-checkpoint.ipynb |
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# # Groupby
#
# **The groupby method allows you to gro... | 06. Python for Data Analysis - Pandas/6.5 groupby.ipynb |
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# import the necessary packages
from tensorflow.ke... | src/road sign with python gui.ipynb |
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# # FABRIC API Example: Create a Simple Sl... | fabric_examples/basic_examples/create_slice.ipynb |
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# + [markdown] id="view-in-github" colab_... | NN_Model.ipynb |
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import pandas as pd
from Bio.Blast import NCBIWWW
fa... | Biopython_blast_example.ipynb |
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# # Python Wrapper for CMR
# `A python library to inte... | CMR/python/demos/collections.ipynb |
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# # Do Package Manager stuff
# > Use the right tool fo... | notebooks/Automation.ipynb |
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# + deletable=true editable=true
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suppressWarnings(suppressPackageStartupMessages(library(ggplot2)))
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# # Part 1 - Experimentation
#
#
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import numpy as... | Lab-11-KFP-CAIP/notebooks/covertype_experimentation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Evolving_Clustering_Static_DS3_1.ipynb |
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# %matplotlib inline
import pandas as pd
import matplo... | notebooks/model_reports/zeroplot.ipynb |
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require 'bio'
require 'rest-client... | Assignment3/assignment3.ipynb |
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# + id="ASpBp5GzOYGT" colab_type="code" colab={}
import tensorflow as tf
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# + [markdown] graffitiCellId="id_19cls48"
# # Graph B... | Exercises/2_Search/1_graph_bfs.ipynb |
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# # Numerical and logical functions for working with i... | Functional_Thinking/Lab/30B-numerical-and-logical-functions.ipynb |
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import sonify
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dirs = ... | azure_code/cleanFiles.py.ipynb |
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# ## Geomorphometry II: Spatial and Temporal Terrain A... | notebooks/terrain_analysis.ipynb |
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# + id="iBiha3UzKmVX" colab_type="code" colab={"base_uri": "https://localhost... | exemples/mnist/model_training.ipynb |
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# ## Scikit-Learn PCA and Logistic Regressi... | AWS/sample-notebooks/PCAPipeline/PCAPipeline.ipynb |
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# # Chapter 3 Conditional Execution
# ### 3.1 Boolean... | 03-conditional-execution.ipynb |
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# # Quandl: US GDP, Implicit Price Deflator
#
# In thi... | docs/memo/notebooks/data/quandl.ugid_infl_usa/notebook.ipynb |
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imp... | developing/notebooks/ParsevalTheorem.ipynb |
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# <small><i>This notebook was put together by [<NAME>]... | Scikit-learn/sklearn_tutorial_notebooks/01-Preliminaries 24-10-2017.ipynb |
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# + id="XO0nr0mHm3y8" colab_type="code" colab={}
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import pa... | my_ml.ipynb |
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# # EJERCICIOS
# ## CAPITULO 1
#
# El capitulo 1 del M... | Chapter_1/Ejercicios/.ipynb_checkpoints/Ejercicios_C1-checkpoint.ipynb |
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# hash: 63fd5069d213b44bf678585dea6b12cceca9941e... | 01-Basic Python/05-Dictionaries.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | scripts/model.ipynb |
#!/usr/bin/env python
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# <a href="https://colab... | calculating-bandgap/calculating-bandgap.ipynb |
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# ## Part I: Implement and... | vision/baseline_start.ipynb |
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# # Свёрточные нейросети и POS-теггинг
#
# POS-теггинг... | task3_cnn_postag.ipynb |
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# # cuDF Cheat Sheets sample code
#
# (c) 2020 NVIDIA,... | cheatsheets/cuDF/cuDF_Query.ipynb |
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# # Starter Notebook
#
# The goal of this notebook is ... | Ambualnce-Perabulation.ipynb |
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# ## Dataset - Movielens data
# https://medium.com/@il... | src/recommendation_system_pytorch.ipynb |
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# ## Frozen Lake Introduction
# - [Fronze Lake](https:... | docs/deep_learning/deep_reinforcement_learning_pytorch/dynamic_programming_frozenlake.ipynb |
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from pathlib import Path
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# # <div align="center">Classification of DT Signals</... | Lectures/Basics/5. Classification of DT Signals.ipynb |
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from matplotlib import pyplot as p... | pluralsight/data_visualization_YK_Sugi/Module 4 - Histograms/Practice Problem 1 - Compare Europe and Americas' Life Expectancy.ipynb |
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# %matplotlib inline
#
#
# # Statistical inference
#
... | stable/_downloads/846c9103e2de535e71d8b76a75654d36/plot_background_statistics.ipynb |
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from rsna_retro.imports import *
from rsna_retro.metad... | 04_trainfull3d/04_trainfull3d_labels_02_full3d_old.ipynb |
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# ## CIFAR 10
# %matplotlib inline
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] papermill={"duration": 0.121193, "end_t... | statistics-for-ml-data-analysis.ipynb |
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# <a href="https://colab.research.google.co... | Introduccion/4_Intro_Poo/intro-poo-solucion.ipynb |
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# + [markdown] id="7AdJo7mYXw68"
# # Setup and Imports
# We will download the... | src/Literary_Metaphor_Detection.ipynb |
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# ## Recommendation to clients
# Based on the analysis... | crypto_clusters.ipynb |
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# # Example 1: Setting Up Your Archive
#
# This first ... | examples/1_ArchiveSetup.ipynb |
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# # ML job market segmentation in India
#... | Machine Learning job market segmentation in India( Feynn Labs final project).ipynb |
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# Import the Libraries
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# # Data and Models
# + [... | notebooks/09_Data_and_Models.ipynb |
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