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# # Question 1:
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# Write a decorator fun... | Day - 8/Day - 8 Assignment.ipynb |
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import pandas as pd
import numpy as np
import scanpy.a... | Manuscript/GraphDR_examples.ipynb |
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# ## Machine Learning Model Building Pipeline: Feature... | jupyter_notebooks/Section2_MLPipelineOverview/02.7_ML_Pipeline_Step2-FeatureEngineering.ipynb |
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# # Python CNTK Distributed GPU
#
# ## Introduction
... | recipes/CNTK/CNTK-GPU-Python-Distributed/CNTK-GPU-Python-Distrbuted.ipynb |
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# name: python388jvsc74a57bd00b7cfd85d2fc43f76dbccc53202d8b... | dev_notebooks/testing.ipynb |
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import numpy as np
with open('day8.input') as fp:
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Quest_Simple_Image_Classification_with_Neural_Networks_Martin.ipynb |
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# + [markdown] colab_type="text" id="V8k9buNKTfud"
# #... | courses/machine_learning/deepdive2/time_series_prediction/labs/optional_2_feature_engineering.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | Demo.ipynb |
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# ## Create dataset bundle
# This notebook will creat... | skin_lesion_segmentation/skin_lesion_image_segmentation_preprocess.ipynb |
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# # Anomaly Detection of Retail Store Sales
#
# This h... | anomaly-detection/mec-16.4.1-anomaly-detection-mini-project/Mini_Project_Anomaly_Detection.ipynb |
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# # Project 3: Natural Language Processing
# ## Impor... | comparing-text-in-subreddits-nlp-code.ipynb |
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# # Introduction to Programming with Python
# ---
# #... | python-lessons/01 - Introduction to Programming with Python.ipynb |
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# # Debiased CFSv2
#
# ## Debiases CFSv2 ensemble forecast over specified range of years and leads
# +
import os, sys
from subseasonal_toolki... | subseasonal_toolkit/models/deb_cfsv2/deb_cfsv2.ipynb |
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# %matplotlib inline
#
# # Advection correction
#
# T... | notebooks/advection_correction.ipynb |
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import json
from collections import Counter
def get_... | scripts/plagiarism_checker.ipynb |
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from sklearn import datasets
dataSets = datasets.m... | Algorithm_notbook/LinearRegression(WroteByMyself).ipynb |
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# # การสร้างแบบ stacked bar ด้วย pandas
#เรียนรู้ Pan... | learn_jupyter/7_pandas_stacked_bar_plot.ipynb |
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import numpy as np
import matplotlib.pyplo... | speech processing/2 - Wideband and Narrow Spectrogram .ipynb |
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# %matplotlib inline
#
# # Compute all-to-all connect... | stable/_downloads/13161608f5f01f8a66c6efa4aab22d71/plot_sensor_connectivity.ipynb |
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# # HW3 Question2
import pandas as pd
from sklearn.mo... | feature selection.ipynb |
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# # Example: Covertype Data Set
# The followi... | examples/Example_covertype_dataset.ipynb |
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# # Extended Kalman filter for Nomoto model
# An Exten... | notebooks/15.40_EKF_nomoto.ipynb |
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# # Deep Neural Network [Keras]
# ---
# - Author: <NAM... | Deep-Learning-Models/neural_network_deep_Keras.ipynb |
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# # Building a Simple Chatbot from Scratch in Python (... | src/chatbot/Chatbot.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lec6_transfer_learning/VGG19_CIFAR10_transfer_learning.ipynb |
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import sympy as sym
from functools import reduce
from ... | smoothness-writeup/notebooks/Matrix Test.ipynb |
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import pandas as pd
stocks = pd.read_csv('http://bit.... | data_science/pandas/MultiIndex.ipynb |
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import json
bquad_path = r'./bquad.json'
with op... | explore_bquad.ipynb |
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# # 线性回归 --- 从0开始
#
# 虽然强大的深度学习框架可以减少很多重复性工作，但如果你过于依赖它... | chapter_supervised-learning/.ipynb_checkpoints/linear-regression-scratch-checkpoint.ipynb |
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# # Data Science Internship at Widhya
# ## Mission: M... | Movies Recommendation using python/Movies Recommendation Using Python.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | superado/notebook1a3375ef89.ipynb |
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# # keras_net_dev
#
# Developing the CNN in Keras/Thea... | src/keras_net_dev.ipynb |
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# # Chapter 1 : Getting Started
# + [markdown] deleta... | Chapter01/ch-01.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Demos/demo14_MonteCarlo_and_improvements.ipynb |
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# + [markdown] id="fVxf5ue7RxW5"
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# The e... | Lab 11/PCA_SVM_EigenFaces.ipynb |
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# hash: c4d2db86565210e44e1312e025fd2a01c5965d45... | .ipynb_checkpoints/Logistic Regression.ipynb |
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import ee
# This script will create a tif inside a da... | ResourceWatch/GEE_task.ipynb |
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# # Otros tipos de datos, funciones, objetos
# ## Dic... | clase03/clase_3.ipynb |
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import numpy as np
import pandas as pd
imp... | alg_plots.ipynb |
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# # Feature Engineering: Feature Creation
... | nlp/Ex_Files_NLP_Python_ML_EssT/Exercise Files/Ch04/04_02/End/04_02.ipynb |
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# ## 11.3 양자인공지능 알고리즘 구현
# ### 11.3.2 양자인공지능 학습하기
# #### 양자인공... | nb_ex11_3_qai_hybrid.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | P2.ipynb |
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# # Classifying Surnames with a Convolutional Neural N... | chapter_4/Surname-CNN/4_4_Classifying_Surnames_with_a_CNN.ipynb |
# ##### Copyright 2020 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 writ... | examples/notebook/constraint_solver/simple_cp_program.ipynb |
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from tkinter import *
from tkinter import messageb... | ml-latest/pranav_rec.ipynb |
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# # Fictitious Names
# ### Introduction:
#
# This tim... | 05_Merge/Fictitous Names/Exercises_with_solutions.ipynb |
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# # Basic Libraries
# +
import matplotlib.ima... | Code/.ipynb_checkpoints/main-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # Binary logistic regres... | examples/BinaryLogisticRegression.ipynb |
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# # Example 2: A Counter with Ripple Carry Adder.
# ... | ipynb-examples/example2-counter.ipynb |
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from keras import backend as K
from keras.models i... | demo.ipynb |
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import pandas as pd
from IPython... | .ipynb_checkpoints/Solutions-2-checkpoint.ipynb |
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# # Create a notebook to perform Runge-Kut... | runge-kutta.ipynb |
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from os import walk
fs=[]
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# # Gutenburg NLP Analysis using RAPIDS
#
# ### Blog L... | the_archive/archived_rapids_blog_notebooks/nlp/show_me_the_word_count_gutenberg/show_me_the_word_count_gutenberg.ipynb |
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import pandas as pd
df = pd.read_csv("r... | Dishify/app/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import pandas as pd
import numpy as np
from pandas im... | pandasexercise.ipynb |
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# + [markdown] id="kF6XR0AMAuRW"
# # Week 2 - Ungraded... | C1W2_Ungraded_Lab_Birds_Cats_Dogs.ipynb |
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# # 3. Markov Models Example Problems
# We will now lo... | Machine_Learning/05-Hidden_Markov_Models-03-Markov-Models-Example-Problems-and-Applications.ipynb |
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# # Preliminaries: imports, start H2O, load data
impo... | AutoML/AutoML-Decision Tree - Insurance.ipynb |
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# # Convolutional Neural Networks with Tensorflow
#
# ... | 05b - Convolutional Neural Networks (Tensorflow).ipynb |
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#... | Copy_of_hello_many_worlds.ipynb |
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import torch
import torch.nn as nn
from torchvision im... | dogOwner.ipynb |
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# # Text Summarization - Support Both English & Chines... | topic_summary/on-going-experiment/topic_summary_nltk_StanfordSegmenter_exp_v001.ipynb |
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# # World of Warcraft Log Toy
#
# [![Open I... | dsexamples/data_wow_log.ipynb |
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# ## Define the Convolutional Neural Network
#
# After... | 2. Define the Network Architecture.ipynb |
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# # Guinea-Bissau
#
# * Homepage of project: https://o... | ipynb/Guinea-Bissau.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/training-with-deep-learning/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb |
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# %%HTML
<style> code {background-color : pink !import... | CarND-Camera-Calibration/camera_calibration.ipynb |
import skimage
import skimage.io
import skimage.transform
import os
import numpy as np
import utils
import matplotlib.pyplot as plt
if __name__ == "__main__":
# DO NOT CHANGE
impath = os.path.join("images", "noisy_moon.png")
im = utils.read_im(impath)
### START YOUR CODE HERE ### (You can change anyth... | TDT4195/image_processing/A2/assignment2/task4c.ipynb |
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import pandas as pd
import sqlalchemy as sq
impor... | Scripts/clean_data.ipynb |
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import pandas as pd
data_url = "https://forge.scilab.o... | Issue_examples/Issue168.ipynb |
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# %matplotlib inline
import numpy as np
import sci... | .ipynb_checkpoints/EEGbread-checkpoint.ipynb |
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# # NumPy Array Basics - Vectorization
import sys
pri... | Data_Analysis_with_Pandas/01-Numpy Basics/1-3 NumPy Array Basics - Vectorization.ipynb |
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# + active=""
# .. _tfn_userguide:
#
# TFN Strings
# =... | docs/source/user_guide/clean/clean_au_tfn.ipynb |
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# # Python basics: Expressions and strings
#
# By [<NA... | expressions-and-strings.ipynb |
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# # Unified Planning ... | notebooks/Unified_Planning_Basics.ipynb |
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# **start() & end()**
# These expressions return the i... | Python/13. regex and parsing/77. re start() & re end().ipynb |
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# <div class="alert alert-block alert-info" style="mar... | Applied-Data-Science-Specialization-IBM/IBM - Python for Data Science/week1- Python/PY0101EN-1-2-Strings.ipynb |
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from collections import default... | analysis/mf_grc_analysis/mf_combination_representation/mf_bouton_210519_compare_dist.ipynb |
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# %matplotlib inline
#from matplotlib import pyplot a... | sntd/examples/sim_and_fit.ipynb |
#!/usr/bin/env python
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# # Principle of Maximum Likelih... | AppStat2022/Week2/ExampleSolutions/LikelihoodFit/LikelihoodFit_ExampleSolution.ipynb |
# # Operators: Sym
import mechkit
import numpy as np
np.set_printoptions(
linewidth=140,
precision=2,
suppress=True,
)
np.random.seed(1)
converter = mechkit.notation.Converter()
def print_in_mandel9(tensor):
print(converter.to_mandel9(tensor))
# ## Split random tensor of fourth order into complete... | docs/source/notebooks/05.ipynb |
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import pandas as pd
import altair as alt
import numpy ... | modeling/RtExploration.ipynb |
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# ## Install required packages
# Run the line below to... | HeatmapNCAA.ipynb |
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# default_exp fwie
# -
# # FWIe
# >... | fwie.ipynb |
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# # Comparative geometric mean returns
#
# We focus ma... | nb/fred-georeturns.ipynb |
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# Cosmo MCMC is landing on biased HOD + Cosmology. I'm... | notebooks/Emus Preds from Chains XiGM.ipynb |
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# # nnUNet Segmentation Service Client
#
# This Jupyter Notebook p... | examples/experimental/nnunet_service.ipynb |
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# + [markdown] colab_type="text" id="ChjuaQjm_iBf"
# ##### Copyright 2020 The... | docs/examples/context_features.ipynb |
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from jupyter_widget_stixview.widge... | stixview-stix21-idioms.ipynb |
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class Perceptron... | ch02_perceptrons/ch_02_Perceptron.ipynb |
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# # ApplePy instructions! #
print('Hello ... | ApplePy.ipynb |
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# # Dataset Exploration
import numpy as np
import pan... | pandas/2_df_exploration.ipynb |
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#hide
# !nvidia-smi
#hide
import sys
if 'google.colab... | nbs/13_experiment.enwik8-n_hashes.ipynb |
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import numpy as np
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# + [markdown] id="oFQJsjKrwFsS"
# ### Import Libraries
# + id="3akodfuSvE3o... | Assignment_4(Ensemble_Learning).ipynb |