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# https://stackoverflow.com/questions/3241929/pyth... | Finding_Dominant_Image_Color_Experiments.ipynb |
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# # Install Python
# This tutorial will te... | src/tutorial/1. Installation.ipynb |
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import pandas as pd
import numpy as np
imp... | preprocess_2017/merge_characteristics.ipynb |
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# ## Data Sources:
#
# [E... | Project_5/References.ipynb |
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# # #MakeoverMonday - How many hours of sleep do child... | _notebooks/2020-05-26-Hours-of-Sleep.ipynb |
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# # LIST
lst=["<NAME>",20,9246903888,"<EMAIL>"]
lst
... | Assignment 1 Day-2.ipynb |
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# ### Developing the DataGenerator
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import os
impo... | nbs/DataGenerator_and_model2.ipynb |
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# # Stellar Classification
#
# <img src="data/image.... | Stellar Classification.ipynb |
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import pandas as pd
import numpy as np
# Load the dat... | Data_cleaning_with_np_and_pd.ipynb |
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# <img src="images/generalassembly-open-graph.png" wid... | Data_architecture.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module2-regression-2/LS_DS_212_assignment.ipynb |
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import pandas as pd
import numpy as np
import matp... | BankNifty_Future_Final_LSTM.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | .ipynb_checkpoints/fiddle-checkpoint-checkpoint.ipynb |
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# # Sparse graph based networ... | graph_nn_type_1_tests.ipynb |
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# This example notebook shows how we can train an imag... | examples/readers/tensorflow_data_api_tiledb_dense.ipynb |
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# <h2 align='center' style='color:blue'>Exercise: Outl... | Program's_Contributed_By_Contributors/AI-Summer-Course/py-master/ML/FeatureEngineering/3_outlier_IQR/Exercise/3_outlier_iqr_exercise.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/reinforcement-learning/cartpole-on-single-compute/cartpole_sc.ipynb |
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import numpy as np
import math
import random
impor... | JHMDB/jhmdb_1D_heavy.ipynb |
# -*- coding: utf-8 -*-
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# This challenge implements... | Crypto/weird/weird_writeup.ipynb |
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# # Building ANCOR Dataset
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from french_crs.ancor2... | demo/fast_Model_ANCOR_Training.ipynb |
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# TSG117 - App-Deploy Proxy Nginx Logs
# ====================================... | Big-Data-Clusters/CU8/Public/content/log-analyzers/tsg117-get-approxy-nginx-logs.ipynb |
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import ConfigParser
import pandas as pd
# # Get Confi... | Oanda Testdrive.ipynb |
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# Run this cell before the lab !
import numpy as n... | labs/06_deep_nlp/data_download.ipynb |
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# ### Bag of words model
# +
# load all necessary lib... | bag+of+words.ipynb |
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#default_exp phenoty... | notebooks/package/Field.ipynb |
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# # Map
# map(function, iterables)
def square(a):
... | 007/map_filter_reduce_lambda.ipynb |
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# + [markdown] state="normal"
# # Lab 02: N-grams
#
# ... | cs-master/cs401/.ipynb_checkpoints/02-ngrams-checkpoint.ipynb |
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# default_exp connectomes
# -
# # Module connectome... | 03_connectomes.ipynb |
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# ## Test 3 assumptions in methods
# Imports
... | test_methods_assumptions.ipynb |
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# # Creating the Finite-Difference Table for Centered ... | Tutorial-Finite_Difference_Derivatives-FDtable_soln.ipynb |
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# + [markdown] id="boC50Y4UGuMi" colab_type="text"
# # IEEE Coders Week
# ###... | Project/Coders_week_Final_Project2.ipynb |
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# #### Version history
# * V1 - Inference with basic m... | Inference/somu-detectron2-mrcnn-inference.ipynb |
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# ### Metaprogramming - Application 2
# There's anoth... | dd_1/Part 4/Section 14 - Metaprogramming/12 - Metaprogramming - Application 2.ipynb |
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# <b>Calcule a integral dada</b>
# $\int tln(t^2)dt$
... | Problemas 6.1/06.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | TransferLearningClassification_Cross-validation.ipynb |
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# ### Entropy weighting KMeans
library(wskm)
# Import data for trainin... | finalModel/ewkm.ipynb |
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# ## Storm Events
# Exploratory data analysis of storm... | storm_events.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BAJOGRADO_CheckPoint_Xception_Articulo_CAT.ipynb |
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# #... | 01Basic/04함수_연습_해답.ipynb |
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# # 315. Count of Smaller Numbers After Self
#
# [@ste... | MergeSort like algorithms.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | week11_dim_reduction/class-10_pca.ipynb |
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# # Systems Biolo... | VU_course_tutorial_hub.ipynb |
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# # Split list of files into a test and train sample
#... | Create_CNN/Split_Training_Testing_Images.ipynb |
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# + hide_input=true inputHidden=true language="html"
#... | gpu_implementation/analysis/mtes_20190526_160515.ipynb |
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# name: python37664bitoptconda7682a877a7f444b3a... | 01_1_PCA.ipynb |
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# # Basic Machine Learning Models
# * Author : Harryt... | Basic_Machine_Learning_Models/Basic Machine Learning Models.ipynb |
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# # LeetCode #1021. Remove Outermost Parentheses
#
# #... | LeetCode/LeetCode_1021RemoveOutermostParentheses.ipynb |
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# gradient descent
# derivatives = change in value... | gradient descent.ipynb |
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# **NOTE:** This Notebook is downloaded from Kaggle an... | notebooks/coffee-rembert.ipynb |
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# + jupyter={"outputs_hidden": false} pycharm={"name":... | .ipynb_checkpoints/hello_jupyter-checkpoint.ipynb |
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# # Modeling M&M Colour Distributions
#
# In this exe... | code/.ipynb_checkpoints/ATA_Modelling_M&Ms-checkpoint.ipynb |
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import numpy as np
px = np.array([1/4, 1/4, 1/4, 1/4]... | demo.ipynb |
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#Multipanel Figures
# %matplotlib inline
import numpy ... | multipanel_figs.ipynb |
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# ### Answers to Assignment 3 - Python Fundamentals I
... | assignments/answers/assignment3_answers.ipynb |
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# # Recursion vs Loops
# ## MSDS-432 - Kiley - Week ... | 3_recursion_v_loops.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-nort... | Chapter 03/AutoPilot with SageMaker SDK.ipynb |
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# # Preparation
#
# Load necessary modules and initial... | tomo_template_deprecated.ipynb |
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# # Python Functions
# ## Type-Along Notebook
# ***
# ... | Week 4/Functions_Student.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/automated-machine-learning/regression/auto-ml-regression.ipynb |
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# # Parte 2: Intro al Aprendizaje Federado
#
# En la s... | examples/tutorials/translations/español/Parte 02 - Intro al Aprendizaje Federado.ipynb |
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# 一维随机漫步算法 平方根曲线分布
# 二维随机漫步算法 ?
# %matplotlib inli... | scikit/ch02_02.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | data_collected.ipynb |
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import requests
import re
from bs4 import BeautifulSou... | YTS MX Scraper.ipynb |
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import numpy as np
import pandas as pd
# ## Configura... | isic_submit/merge/.ipynb_checkpoints/merge_pred_unk-checkpoint.ipynb |
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# ### Importing the necessary modules
#
# Note: For th... | Sign_Language_Recognition_Ashutosh_Vyas_01601649.ipynb |
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# # Manipulating word embeddings
#
# In this week's a... | Course 1 - Natural Language Processing with Classification and Vector Spaces/Week 3/NLP_C1_W3_lecture_nb_02.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # 1... | NumPy/01 Introduction_to_NumPy.ipynb |
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import math
import matplotlib.pyplot ... | notebook/tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ProblemSet1_555.ipynb |
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# # El programa "<NAME>"
# El programa **"<NAME>"** es... | nb/Hola mundo.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | examples/Custom_Reference.ipynb |
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# # Python для анализа данных
#
# ## Использование API... | lect11_Selenium_API/2021_DPO_11_5_API_XML_JSON.ipynb |
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# # Gendist V1.0
# %load_ext autoreload
#... | notebooks/007-gendist-v1-partial.ipynb |
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# # Neo4j to Network X
#
# This notebook contains code... | notebooks/neo4j_to_networkx.ipynb |
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# # Day 10
#
# The elves are in the asteroid belt, and... | day-10.ipynb |
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# <img align="center" style="max-width: 1000px" src="b... | lab_03/lab_03b_solution.ipynb |
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# name: python395jvsc74a57bd00de088ff9727ee96c4d6fff748e8a0449766a03da856330... | python-for-data/Ex02 - Functions and Getting Help.ipynb |
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# # Question1
# # Unit Testing
# ! pip install pylint... | Assignment 7 Day-9.ipynb |
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# # Getting started with SPARK:
#
# ### (1) - Set up ... | Udemy-Python-DS-and-ML-Bootcamp/SPARK Intro.ipynb |
# -*- coding: utf-8 -*-
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using Revise
using Bil... | notebooks/ISRR/.ipynb_checkpoints/Little Dog-checkpoint.ipynb |
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# If on google colab, you will need to change the hard... | examples/benchmark.ipynb |
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# # Logistic Regression Project
#
# The goal of this p... | Projects/Logistic Regression/Logistic-Regression-Project.ipynb |
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import pandas as pd
def creat_list():
count = 0
... | MyCourse/MyCourses.ipynb |
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# ## Introduction
#
# This repo explains how to use R to analyze real es... | RealEstateListAnalysis.ipynb |
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# # Develop the function to read in images... | examples/demo_read_images.ipynb |
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import numpy as np
import pandas as pd
conn=pd.read_... | Drosophila.ipynb |
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# + [markdown] id="E_R0bsVyO7Fe"
# # 0.0 Problema
# + [markdown] id="E1EcA_C... | 1_Figure.ipynb |
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# ## Задание 1
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import json
purchase = {}
with op... | .ipynb_checkpoints/read-write_DZ-2-checkpoint.ipynb |
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# ## Image classificaton for dataset CIFAR... | Clasification/imgclassificationcifar10.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | utils/speedup_model/utils.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
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# + [markdown] id="view-in-github" colab_type="text"
#... | Chapter 03/custom_TF_training_loops.ipynb |
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epochs = 20
n_train_items = 1280
import torch
import ... | shuffle.ipynb |
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# %matplotlib inline
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from matpl... | grackle/cooling_curve.ipynb |
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# # Day 23 - Concurrency
#
# * https://adventofcode.co... | 2019/Day 23.ipynb |
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# ### Deface
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import json
import os
bids_path = '... | fmri_preparation/dn_fp_02_deface.ipynb |
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from IPython.core.debugger import set_tr... | 6_Renforcement_Learning_Gridword/1_Policy_Evaluation.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module2/.ipynb_checkpoints/Module2 - Lab3-checkpoint.ipynb |
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# + id="xjEPg3jvOx9x" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |