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# <div style='color: #690027;' markdown="1">
# <h1... | LeafToLabelStomata.ipynb |
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# # Theil Sen Reg... | Stock_Algorithms/Theil_Sen_Regression.ipynb |
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# + [markdown] colab_type="text" id="UEBilEjLj5wY"
# S... | L12-cnns/code/lenet-5/cnn-lenet5-cifar10.ipynb |
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# # Website Phishing (scikit-learn)
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# #### <NAME... | Phishing Website.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Derivatives/Derivative Tests.ipynb |
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# ## Gaussian Transformation
# #### In Machine learni... | Fitting Data in Gaussian Distribution (Gaussian Transformation)/.ipynb_checkpoints/Gaussian Transformation-checkpoint.ipynb |
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# # EB Factorization
# We compute the unique EB factoriz... | old_eb_factorization.ipynb |
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type(3.14)
3.14e-3
3.14e-2
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3.1... | Week 2/jupyter notebook/Section/Section_2.ipynb |
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# # Introduction to Python
#
# <br/>
#
# <section clas... | 02b-Python-Intro-short/02b-Python-Intro-Data.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | notebooks/train_augmented_distilbert_V1.ipynb |
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# # GPU Accelerated Elastic Deep Learning Service in C... | dli-learning-path/tutorials-cpd-wmla/CPD35x-elastic-distributed-training-via-WMLA-api.ipynb |
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# + [markdown] id="kc5cIgeEmv8o" colab_type="text"
# #... | examples/tensorflow/text-generator/gpt-2.ipynb |
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# # Read Network Info from file
import pickle
import ... | 7_scoring.ipynb |
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# Dependencies
import numpy as np
# Python S... | SurfsUp_Challenge.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | study_bdt/MachineLearning/source_code/19-Recommender-Systems/01-Recommender Systems with Python.ipynb |
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# + tags=[]
# IT18113600
# <NAME>
# Q1)
# a)
import ... | IT18113600_Assignment_1.ipynb |
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# + nbsphinx="hidden"
# Delete this cell to re-enable ... | docs/guide/workbench.ipynb |
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# Dependencies
import json
import requests
import pand... | .ipynb_checkpoints/Pet_Adoption_Analysis_REVISED-checkpoint.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Assignment2/ipynb/InsertionSort_Analysis.ipynb |
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im... | pbjam/data/Compare Results .ipynb |
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# ## 3: The math module
# ### Instructions
# Use the s... | python_introduction/intermediate/.ipynb_checkpoints/Modules-checkpoint.ipynb |
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# + [markdown] id="N7qWdbGwjQsq"
# Copyright 2021 Google LLC
#
# Licensed und... | colabs/Kalman Filters.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | FINAL.ipynb |
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"""Running basic code:
Importing packages, setting... | code/predictions_novel_viruses/01_Prediction_novel_viruses_using_both_models.ipynb |
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DATA_PATH = 'C:/Users/moham/Downloads/m... | notebooks/01_preprocessing.ipynb |
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# + [markdown] id="Hbw-GRN-lbpO" colab_type="text"
# ### Steps to load Models... | Face Completion.ipynb |
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# + [markdown] slideshow={"slide_... | django-rest-metadata-demo.ipynb |
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#Importing the required libraries
import pandas as pd
... | mf_performance_analysis/mf data extraction/Hybrid Funds/Conservative Hybrid Fund/ch_mf_data_extraction.ipynb |
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import time
import datetime
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# #### Removing Values
#
# You have seen:
#
# 1. sklea... | lessons/CRISP_DM/Removing Values - Solution.ipynb |
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# %pylab inline
from jax.scipy.ndimage import map_coor... | 20210401/simulationV_discount-3.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | src/datacleaning/Chapter 5/6_line_plots.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | overview/playground/playground_12255_lstm.ipynb |
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# <h2>Inspecting the Aligned Datasets</h2>
#
# We will... | Inspect-Dataset.ipynb |
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import os
import numpy as np
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arraydirectory='./Fe... | array_length_check.ipynb |
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# LogRecordオブジェクトをERRORに設定してログを出力
import logging
... | sample/Python_GOKUI/Python_GOKUI/chap05/sec01/ExceptionHandling_4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | wrangling/Actuals_Offense1.ipynb |
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import pandas as pd
my_file = 'data/uurgeg_344_2011-2... | airco_analysis.ipynb |
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# # Image classification transfer learn... | introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning.ipynb |
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# # PART 1: Exploratory Data Analysis
# In this Jupyt... | notebooks/01-exploratory-data-analysis.ipynb |
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import json
import numpy as np
import matplotlib.pyplo... | finetuned/ExploreFineTunings.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module1-logistic-regression/LS_DS_231_Logistic_Regression-LECTURE-v3.ipynb |
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from sklearn.model_selection import train_test_split... | MLP-Keras-HR.ipynb |
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# # Training a SVM with gradient descent
#
# In this n... | notebooks/svm-derivation.ipynb |
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import pymysql
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import numpy as np
... | jupyter_files/eda/治疗信息_treatment_information.ipynb |
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# Import Required Libraries
import pa... | script_81_cities.ipynb |
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# # Demo 5: Frequent Location Set Mining
# +
import w... | notebooks/Demo_05_Frequent_Location_Sets.ipynb |
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# # Calculate CanOE nitrate derivate
#
# Step 2 for up... | forcing/bio---NO3_derivative.ipynb |
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import os
import re
import sys
import config
impor... | src/data/analytics_kmeans.ipynb |
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# %matplotlib notebook
import pandas as pd
import... | graph.ipynb |
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# # Week 6 of Introduction to Biological System Design... | reading/week6_system_analysis.ipynb |
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# # Applied Process Mining Module
#
# This notebook is... | python/handson1-eventlogs.ipynb |
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#Import
import os
import requests
import pandas a... | notebooks/jsirab/notebook-jsirabNEW.ipynb |
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# + [markdown] colab_type="text" id="_xnMOsbqHz61"
# # Auto Colorizador
#
# L... | AutoColorizador.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | IoT Edge anomaly detection tutorial/Creating-and-deploying-Azure-machine-learning-module.ipynb |
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# <a href="https://colab... | models/AlexNet.ipynb |
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# ### This is a seq2seq machine translation code on th... | clean_code_machine_summarization-w_Generator_final.ipynb |
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# + [markdown] id="ZvXUBQbpdADe"
# # Installation
#
# Install all the depende... | torch-cam/quicktour.ipynb |
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# %load_ext autoreload
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im... | docs/contents/physchem/hydrophobicity.ipynb |
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import numpy as np
import pandas as pd
import matp... | self/chap4/credit_card_fraud_detection/main.ipynb |
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# # Leitura e visualização da imagem
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# %matplotli... | Lecture 02 - Intensity transforms and spatial filtering/Transformacoes pontuais em imagens.ipynb |
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# + active=""
# Relevant Links:
#
# 1. Visit https://d... | time-series-analysis-anomalies/Gmail API Tutorial.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # A... | 06_pandas/M2L05_data_aggregation.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | examples/multi-gpu-toy-example/multi-gpu_dask.ipynb |
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# Import the modules
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# ## 4.3 希腊字母
#
# 我们在初等数学中便已经学习到了一些常用的希腊字母，例如最常见的$\pi$... | chapter-4/section3.ipynb |
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# <a href="https://colab... | PyTorch_CatsVsDogs.ipynb |
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# <a href="https://colab... | Course_1_Part_6_Lesson_2_Notebook.ipynb |
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# # Python Concepts for Data Science: List Comprehensi... | list_comprehension.ipynb |
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import numpy as np
import h5py
import sys
sys.path.append('F:\Linux')
import illustris_python as il
from sklearn.neighbors import KDTree
i... | JpytrNb/tng_to_il1.ipynb |
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# # Rossmann Store Sales
#
# ## Goal: EDA
# We start... | Capstone_2/Capstone_II_EDA_V2.ipynb |
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import netCDF4 as nc
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import os
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import cdsapi
import xarray as xr
import rioxarray as rxr
import numpy as np
import os
import datetime
import requests
# Suppress warnin... | CAMS/01_CDSAPI.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_05_4_dropout.ipynb |
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import sys
sys.path.append("/Users/xli27/GitHub/gy... | xp_models/ql_moutain_car/xp_q_MountainCar_v0.ipynb |
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import re
# script_main = "'She was cute!'"
# scr... | .ipynb_checkpoints/Regx test-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="a43kzGAqldvF" colab_type="text"
# # Using GANs on Fashion ... | GAN_on_FASHION_MNIST.ipynb |
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# # Les procédures et fonctions
# Lorsque les program... | fonctions.ipynb |
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class node:
def __init__(self):
self.lev... | BinaryTreeCamera-least camera to cover binary tree (DFS).ipynb |
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# (Back_Propagation)=
# # Chapter 9 -- Back Propagati... | notebooks/e_extra/pytorch_image_filtering_ml/Chapter 9 -- Back Propagation.ipynb |
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import pysal as ps
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"""
Financial Machine Learning Part 0: Bars
https://to... | Python/bars.ipynb |
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# # Feature Selection in der Data Science Pipeline
# #... | Feature_Selection__Demo.ipynb |
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# + [markdown] id="OaeSlvRlQxZr" colab_type="text"
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# + extensions={"jupyter_dashboards": {"version": 1, "... | gammaboard/dashboard.ipynb |
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# # Regression Week 4: Ridge Regression (interpretatio... | course_materials/course_2/05_ridge-regression/05_programming-assignment-1/week-4-ridge-regression-assignment-1-blank.ipynb |
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# + id="zdjHLuBr2SvD"
dataset=[['i1','i2','i5'],
['i2','i4'],
... | Assignment_7.ipynb |
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# # Banking and Unemployment
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# +
# Dependencies... | 3/Activities/10-Stu_BankDeserts_Heatmap/Unsolved/Banking_Deserts_HeatMap.ipynb |
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# # Collision Avoidance - Data Collection
#
# If you r... | notebooks/collision_avoidance/data_collection.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | P1.ipynb |
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import tensorflow as tf
import random
from tensorf... | dga-detection.ipynb |
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"""
Checking Imported Data III - DataFrame Labels
"""
import numpy as np
import pandas as pd
wine_reviews = pd.read_csv('../winemag-data-130k.csv')
# Access the labels on the rows of data.
# Access the labels on the columns of data.
# Return the labels for the rows and columns in wine_reviews in one comma... | pset_pandas1_wine_reviews/check_imported_data/nb/p3.ipynb |
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#default_exp ethnicity_icao
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#export
from fastai import... | nbs/09_icao_ethnicity.ipynb |