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import matplotlib.pyplot as plt
import pandas as pd
i... | exploring-data/src/data_playground.ipynb |
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# # Функция правдоподобия
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import matp... | Lecture5-Likelihood-and-Posterior.ipynb |
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# <img style="float: left; margin: 30px 15px 15px 15px... | ProyectoConjunto_DPintor_RMartinez.ipynb |
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import os
import glob
import random
import shutil
... | .ipynb_checkpoints/kids_game-checkpoint.ipynb |
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# + [markdown] id="plx25OnQ4vUe"
# ## Importing Requir... | anime_recommendation.ipynb |
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import numpy as np
import pandas as pd
import pymc... | _drafts/modeling-the-nhl-better/Hockey Model Ideal Data RC.ipynb |
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# + tags=["hide-input"]
import numpy as np
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#print... | _build/.jupyter_cache/executed/8d82911682c846405d0238cb675d953f/base.ipynb |
-- -*- coding: utf-8 -*-
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-- # Testudinal ... | TestudinalHaskell2.ipynb |
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# # Catalog utilities
# The following snippets will ac... | startrackerpy/server/startracker/catalogs/catalog.ipynb |
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# # Notebook Intentions
#
# The purpose of the noteboo... | sandbox/2021_03_test_history_generator/simple_trends.ipynb |
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#Run this cell to install the necessary dependenci... | Project_2/Spotify/Spotify.ipynb |
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# + pycharm={"name": "#%%\n"}
import pandas as pd
dat... | back_propagation.ipynb |
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# # SentencePiece and BPE
# ## Introduction to Token... | Week-3/Ungraded-Assignments/C4_W3_SentencePiece_and_BPE.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing_Assignment.ipynb |
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from pomegranate import BayesianNetwork
import se... | server/exploratory/Untitled.ipynb |
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# + [markdown] code_folding=[]
# # Goal
#
# * Simulati... | ipynb/bac_genome/fullCyc/trimDataset/.ipynb_checkpoints/rep3-checkpoint.ipynb |
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# # Your First GAN
# ### Goal
# In this notebook, you... | .ipynb_checkpoints/gans_mnist-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Notescale_LSTM.ipynb |
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# + id="0m2JWFliFfKT" colab_type="code" colab={}
from __future__ import print... | Session 2/Copy of EVA4 - Session 2.ipynb |
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# # Polynomial Regression
# ## Libraries are helpful
import pandas as pd
import numpy as np
from sklearn.preprocessing import PolynomialFeat... | Regressions/polinomial-regression.ipynb |
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# -*- coding: utf-8 -*-
"""extract_faces.ipynb
Au... | api/Untitled.ipynb |
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# + id="j96UhgkICKpl" executionInfo={"status": "ok", "timestamp": 16412343375... | Clustering Assignments/Hierarchical Clustering.ipynb |
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import os, numpy as np
import pandas as pd
os.env... | doc/keras_iris.ipynb |
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str="ENTER"
str.lower()
str1="learning"
s... | String,strings Methods.ipynb |
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import pandas as pd
import copy
df_old = pd.read_exc... | step_5_b_a_prepering_data_for_decision_tree.ipynb |
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# ## Data Representation
# ## Lab 3: Web Scraping
# ##... | labs/week03-webScraping/PY04-testCSV.py.ipynb |
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import numpy as np
import pandas as pd
imp... | HW2/data_preprocessing_houseprice.ipynb |
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# # Variation(변분법)
# ## functional (범함수)
#... | python/Vectors/iterables.ipynb |
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# # Task 1 create a soup with bs4 and load the data to... | Lesson05/Activity07/Activity07_ReadingTabularData_Solutions.ipynb |
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# # <NAME>
#
# In this notebook, I'll build a characte... | intro-to-rnns/Anna_KaRNNa_Solution.ipynb |
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# # Developer Overview
#
# Data of participants that d... | 03_survey-analysis/02_developer-overview.ipynb |
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# # Hough Lines
# ### Import resources and display th... | L03-020-Notebook-01-Hough_lines.ipynb |
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# +
using SymPy
@vars h x
f = SymFunction("f")
f1... | Code/Chapter 2 - Derivatives and Gradients/2.5.ipynb |
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#  | CÂMARA... | etapas/json/.ipynb_checkpoints/json-checkpoint.ipynb |
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" Import the libraries "
import os
import sys
i... | tabular data/classification/Benchmarks/3. anuran/supplementary tests/anuran_neigh_generations.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cleaner.ipynb |
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# ## Chapter 10 [Onlinestatsbook.com](onlinestatsbook.... | chapters/osb_chap10_estimation.ipynb |
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# + [markdown] colab_type="text" id="aPYMlUtrZB4b"
# #... | module_8/challenge/main.ipynb |
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# # Principal Component Analysis
# * `dim1` -- PCA wit... | nbs/dim - PCA.ipynb |
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import pandas as pd
xls = pd.ExcelFile("./data/Fu... | checkdata.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Section 9. Seaborn Exercises/Categorical Plots.ipynb |
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# # synpuf disclosure risk
#
# Compare synthetic PUFs ... | analysis/disclosure/.ipynb_checkpoints/disclosure_risk_10p_sample-checkpoint.ipynb |
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# *Copyright 2018 MD.ai, Inc.
# Licensed under the ... | pneumonia-detection-clone-project-data.ipynb |
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# + [markdown] id="N6vYLtten6yz"
# # Telegram Bot
#
# Simple Bot to save inco... | TelegramBotForAstoneshi.ipynb |
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import torch
y = torch... | pythonExample/torch_masked_scatter.ipynb |
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# # Intro. to Snorkel: Extracting Spouse Relations fro... | intro_Z/.ipynb_checkpoints/Intro_Tutorial_3-checkpoint.ipynb |
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# Import dependencies
import pandas as pd
import os
#... | WebVisualizations/csv_to_html.ipynb |
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# ### Required libraries
import configparser
# %load... | Data Warehouse/examples_queries.ipynb |
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# ## DCTC DCSC feature extraction demo
# First I impor... | DCTC-DCSC-demo.ipynb |
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# This notebook will explore model data at the Ocean N... | Muriel/old notebooks/Exploring Model Output at the ONC VENUS nodes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CNN_PyTorch.ipynb |
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# ### Sympy, General
# +
import sympy as sp
sp.sqrt(... | notebooks/sympy-samples.ipynb |
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import os
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from utils import load_c... | notebooks/performance_calculations.ipynb |
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#hide
from ml_utils.core import *
# # David's ML_UTIL... | index.ipynb |
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# Note: for Notebook to work in JupyterLab, run : `con... | extra/TEM_EDS_nanoparticles.ipynb |
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from os import listdir
from os.pa... | 1-basic-statistics.ipynb |
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# + [markdown] id="1RbT1N-9N8wq" colab_type="text"
# # Análise de Sentimento ... | web/utils/notebook/Sentiment_Analysis_with_Logistic_Regression.ipynb |
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# [](https://pytho... | 06_tipos_de_datos_en_python.ipynb |
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# <a href="https://colab... | SuperBrains.ipynb |
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# ## Overview
#
# Plot GW plots of variant density
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#... | notebooks/snpdiscovery-gw-plotting.ipynb |
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# # <div align="center">TF-IDF</div>
# --------------... | Lectures/Levon/TF-IDF/main.ipynb |
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# # Docking Featurizer
#
# This shows how we can dock ... | examples/docking.ipynb |
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# Machine Learning envolve uma mudança de pa... | hello-world/linear_regression_loss_function.ipynb |
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# # Distributed Estimation
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# This notebook goes thr... | examples/notebooks/distributed_estimation.ipynb |
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# <img align="left" src="https://lever-client-l... | module1-rnn-and-lstm/LS_DS_431_RNN_and_LSTM_Assignment.ipynb |
# -*- coding: utf-8 -*-
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# # Julia 深度學習：類神經網路模型簡介
... | example/julia_032_example.ipynb |
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import matplotlib.pyplot as plt
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i... | outlier.ipynb |
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# %matplotlib inline
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# # Aligning Labels
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#
# Alig... | matplotlib/gallery_jupyter/subplots_axes_and_figures/align_labels_demo.ipynb |
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Dir = "C:\\Users\\Junyu\\OneDrive\\200-Areas\\BioSoft"... | Obsidian2Flourish.ipynb |
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# # Scikit-Learn
#
# See: http://scikit-learn.org/stab... | 03_Scikit_Learn.ipynb |
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# # Example Usage for GeoCluster Package
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## Basic... | example.ipynb |
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# <NAME>, August 2011; GlowS... | Demos/VPythonObjects.ipynb |
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# ## Radical Stabilisation Energy Calculation Workflow... | WorkFlow/.ipynb_checkpoints/SweetHunter-checkpoint.ipynb |
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# ###Getting started with For Loop
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# * F... | Python/Loops/For Loop in Python.ipynb |
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# imports
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import matplotlib.pyplot... | Code/project code from discovery cluster/gpu3_batch128/Plotting.ipynb |
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# # Intro... | Solar System in 2D.ipynb |
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class Solution:
def hasAlternatingBits(self, n... | Bit Manipulation/1222/693. Binary Number with Alternating Bits.ipynb |
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# # Schauen wir uns den Flughafen Basel an
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# The famous *diffusion equation*, also known as the *... | fdm-devito-notebooks/03_diffu/diffu_fd1.ipynb |
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# ### NLP Sentiment Analysis Exercise
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# import nu... | w8/w8d4/.ipynb_checkpoints/todo_NLP_sentiment_analysis_exercise-checkpoint.ipynb |
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# Question 1:
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# # Lemmatization
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# # Exercise 1: eigenvalue problem
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# Take ... | DeepLearningPrerequisites/Exercises.ipynb |
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# # MUTRAFF - Congestion Map Drawing
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spaceNetUtilitiesPath = '/opt/utilities... | spacenetTensorFlowAPI.ipynb |