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import pandas as pd
df = pd.read_csv("pandas/employee... | CompletedCourseFiles/DataFrames 2.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | First_Version_Redesign/Data_Wrangling_Individual_Project_Tyler_Young.ipynb |
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import albumentatio... | notebooks/detect.ipynb |
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# Compute the mean absolute error for the following li... | experiments/ErrorFunctions.ipynb |
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# # One Step Methods
# Given the first order equation
... | Chapter 01 - Euler Methods/.ipynb_checkpoints/Example Euler Method 2nd Order Equation-checkpoint.ipynb |
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# %%%HTML
<script>
function code_toggle() {
if (... | Kinematic_Exercise 7_Spherical Robot.ipynb |
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# ## Collecting images of last two decades of 21st JUN... | scrap(APOD).ipynb |
# -*- coding: utf-8 -*-
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# Exp2021-10-03/2
# ## Sugar production under sh... | student_notebook_light_conditions.ipynb |
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# + [markdown] colab_type="text" id="JndnmDMp66FL"... | 9. Improving Neural Net Performance Julia.ipynb |
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# # ETL Project Name: Boston Airbnb market analysis
# ... | project2.ipynb |
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# # Computing the optimal statistic with... | tutorials/full_pta_gwb/optimal_stat.ipynb |
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"""setup"""
try:
from ..__init__ import activate
e... | aye/tests/test_basics.ipynb |
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# + id="historical-terminology"
import os
import pydot... | .ipynb_checkpoints/Finetuning-checkpoint.ipynb |
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# # Simulación Montecarlo
# > El método de Montecarlo ... | TEMA-2/Clase8_SimulacionMontecarlo.ipynb |
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import mxnet as mx
mnist = mx.test_utils.get_mnist()
batc... | src/digits.ipynb |
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# McKee_Scattering_2013
# <NAME>
# September 10, 2... | McKee_Scattering_2013.ipynb |
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# # in some plots we are having 1 SOS with no EOS.
#
#... | remote_sensing/python/Local_Jupyter_NoteBooks/scratches_to_experiment/null_SOS_failed.ipynb |
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# # Lecture 17: Clustering (Unsupervised Classificatio... | lectures/notes/Lecture7-density-estimation.ipynb |
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# # `kickscore` basics
#
# This notebook introduces th... | examples/kickscore-basics.ipynb |
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# # Recommender system
#
# Two types of Recommender... | recommender system d.ipynb |
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# name: python37664bitcensusconda6de06cb7d11... | notebooks/Point Pattern Analysis.ipynb |
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# <p style="font-family: Arial; font-size:3.50em;color... | Course Pre_req Flow for BS Electrical Engineering.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Questi... | tutorials/Tutorial10_Knowledge_Graph.ipynb |
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# ### based on https://github.com/higgsfield/RL-Advent... | jupyter/pong/pong-noisy-dqn.ipynb |
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# # Feature Engineering
#
# In this notebo... | tps-2021-09/notebooks/Notebook 3 - Feature Engineering.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lesson9.ipynb |
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import torch
from basic_unet import UNet
from testnet ... | brats/22b_testnet_hdm_circles_mse.ipynb |
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# # Web Scraping Project
# This notebook scraps toron... | Coursera/IBM Data Science Specialization/capstone project/Capstone Project Week 3 Assignment.ipynb |
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# # Example to Read / Write to Minio / S3 ... | _old_/docker/all/work/connector-examples/Minio.ipynb |
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# %matplotlib inline
#
# Plot Model Components
# ====... | doc/auto_examples/plots/plot_model_components.ipynb |
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import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
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import torch
t1 = torch.tensor(4.)
t1
t1.dtype
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# Only execute if you haven't already. Make sure to re... | quests/dei/census/income_xgboost.ipynb |
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import pandas as pd
from pathlib import Path
from glob... | apogee_SP110.ipynb |
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# # Circuit resource analysis for Gray code encoding
... | notebooks/Circuit-Complexity-Analysis.ipynb |
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# # Prep
#
# Setting up some prior functionality
impo... | finetune_detr.ipynb |
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df = pd.read_csv('survey_results_... | pandas/Pandas lab 2.ipynb |
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# <a href="https://colab.research.google.com/github/... | AnalisisDeDatos/4_Data_Wrangling_Avanzado/data_wrangling_avanzado.ipynb |
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# # TEXT MINING for PRACTICE: Python Data Structure (자... | practice/week-01/W01_2_python_data_structure.ipynb |
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# + [markdown] id="P8wEOtbOLpvK"
# # Play with TensorB... | _notebooks/2021-02-20-play-with-tensorboard.ipynb |
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# # UTF-8 Embedding and Decoder Test with Autoencoder
... | predictors/sequence/text/utf8codec_test.ipynb |
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import cv2 as cv
import numpy as np
import matplot... | .ipynb_checkpoints/mina-checkpoint.ipynb |
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# # Introduction to OpenFermion
# Note that all the ex... | examples/openfermion_tutorial.ipynb |
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# ![Impressions](https://PixelServer20190423114238.... | how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb |
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# %load_ext autoreload
# %autoreload 2
from conte... | notebooks/latent_space_analysis.ipynb |
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# A more interesting simulation allows us to study the... | intermediate/Queue - Task Simulation.ipynb |
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import myutil as mu
import torch
# -
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# ### Practical Computing
# ### Exercise 2: Write a s... | Practical Computing Exercise 2 .ipynb |
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# # TensorFlow Regression Example
# ## Creating Data
... | study_python/tensorflow/Tensorflow-Bootcamp-master/02-TensorFlow-Basics/04-TensorFlow-Regression-Example.ipynb |
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# # Tutorial 06: Creating Custom Scenarios
#
#... | tutorials/tutorial06_scenarios.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Experiment4.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="gLB4anKXLM01" execution... | notebooks/aux.io_V2_playground.ipynb |
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# # Road Following - Live demo
# 在这个笔记本中，我们将使用我们训练的模型，... | notebooks/road_following/live_demo.ipynb |
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import numpy as np
from matpl... | exploratory.ipynb |
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import matplotlib as mpl
from mpl_toolkits.mplot3d... | tensorflow-GPU/tensionMusic/tensionPicture.ipynb |
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# + [markdown] id="vt-Nk3lQseTo"
# ## Welcome to my Notebook on Tide Times.
#... | Notebooks/TideTimesQ1.ipynb |
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# # The TransformedDistribution class
#
# > In this po... | _notebooks/2021-09-07-01-the-transformedDistribution-class.ipynb |
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# + pycharm={"is_executing": f... | demo/demo.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | project/src/main/python/tickOutput2minData/minDataPreparation.ipynb |
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import os
import numpy as np
import matplotlib.pyp... | nn/pca/gen_nbrfiles.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | SeattleResults.ipynb |
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# + [markdown] id="ZEpieBvNXCME"
# # Shakespeare - tex... | code/shakespeare-text-generation.ipynb |
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import sklearn
print('The scikit-learn version is {}.'... | DecisionTree_analysis.ipynb |
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from bs4 import BeautifulSoup
import requests
from sum... | medium_summary.ipynb |
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print("Hello World!")
# ## This is text shown in the ... | lecture02-conda-python/my-first-notebook.ipynb |
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# ## Homework 2
# 😏
# **Welcome to homework 2!**
#
... | homeworks/week-2.ipynb |
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# # 14. CNN with CIFAR10
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import torch
import torc... | Week4/14. CNN with CIFAR10.ipynb |
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-- # Programming R from Haskell
-- This ... | IHaskell/examples/tutorial-ihaskell-inline-r.ipynb |
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# #### scrapy
#
# - xpath 기본문법
# - xpath 실습
# - 2가... | web/08_scrapy.ipynb |
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import pandas as pd
import sys
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# # Regression Week 4: Ridge Regression (gradient desc... | Machine Learning/Regression/Week 4/week-4-ridge-regression-assignment-2-blank.ipynb |
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# # Will Pueyo's Projection Come True?
#
# On **June 2... | pueyo.ipynb |
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# # How to get an updated tree of all bird families f... | docs/notebooks/bird_families/TreeOfBirdFamilies.ipynb |
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# <h1 align=center><font size = 7>Peer-Graded Assign... | Segmenting and Clustering Neighborhoods in Toronto.ipynb |
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# # Making sure I can connect to MySQL and use basic c... | SQLTest.ipynb |
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# # Import AiiDA archive file
#
{% if archive_url %}... | aiida/notebooks/explore.ipynb |
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from modules.vector_generator import *
from module... | Voc Extraction.ipynb |
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# # Video Game Sales Solution
# #### 1. Import pandas... | notebooks/Python3-DataScience/03-Pandas/10-Video Game Sales Solution.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Basico-Intermedio/EvalFunc20.ipynb |
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import warnings
warnings.filterwarnings('ignore') # 実行... | text/Chapter5.ipynb |
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# **1**. Making wallpaper with `fromfunction`
#
# Adap... | notebook/T03_Exercises_Solutions.ipynb |
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# # Exercise 1 - Toffoli gate
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# Getting rid of un... | solutions by participants/ex1/ex1-AlbertoMaldonadoRomo-73cost.ipynb |
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# # Project objective
# In... | code/project15_lasso_hyperparameter_selection_onlinenews.ipynb |
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# + [markdown] nbgrader={}
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# # Step 1: Data Preprocessing
#import library
impor... | Semester V/Machine Learning (ML) (4659302)/7/ML_PR_7.ipynb |
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# # Librerie
import math
import os
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impo... | Homework 2.ipynb |
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# ### Previous: <a href = "keras_05.ipynb">1.5 Overfit... | Keras/.ipynb_checkpoints/keras_06-checkpoint.ipynb |
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# <center><img src="http://i.imgur.com/sSaOozN.png" wi... | 2021/ComputationalThinking/Part1_PythonForPreProcessing/Integrating_and_Reshaping.ipynb |
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# ## 1 Create a Database
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# # Packed Padded Sequences, Masking and Inference
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import cv2
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# %matplotl... | Day 2 - Edge detection.ipynb |
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