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# # The Development of Python HDBSCAN Compared to the ... | notebooks/Python vs Java.ipynb |
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# name: conda-env-simulate_expression... | Pseudo_experiments/generate_additional_template_experiments.ipynb |
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# # DataKind Red Cross Project Phase 2
# ## Home Fire ... | notebooks/thw_per_capita_fire_rate_analysis.ipynb |
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# # Molecular Dynamics (MD)
#
# ## Objective:
# Perfor... | uci-pharmsci/assignments/MD/MD.ipynb |
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# [[source]](../api/alibi.explainers.shap_wrappers.rst... | doc/source/methods/TreeSHAP.ipynb |
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# # Working with Scikit-learn pipelines
#
# Nearest ne... | doc/pynndescent_in_pipelines.ipynb |
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# # nash test
# Giving some parameter values
alph... | entry_game.ipynb |
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# # ULMFiT for Airline Tweet Sentiment Analysis
# T... | ULMFiT for Airline Tweet Sentiment Analysis.ipynb |
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# + [markdown] id="aCZBFzjClURz" colab_type="text"
# # Train a basic TensorFl... | tensorflow/lite/micro/examples/hello_world/train/train_hello_world_model.ipynb |
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# # A Cantera Simulation with Reaction Sensitivity: Co... | ipython/canteraSensitivityComparison.ipynb |
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# # pytf Examples
#
# The first section demonstrates t... | examples/.ipynb_checkpoints/pytf_examples-checkpoint.ipynb |
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# # Hierarchical Indexing
#
# Up to this point we've b... | pandas/hierarchical_indexing.ipynb |
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from causalinfo import *
# You only need this if you w... | notebooks/radio.ipynb |
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import glob, os
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# # freud.environment.EnvironmentCluster
# The `freud.... | module_intros/environment.EnvironmentCluster.ipynb |
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# + [markdown] id="ZiwRJ15WOLnD" colab_type="text"
# #Question 2
#
# + id="-... | Day 9/Day9_Question2.ipynb |
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# Question 1:
# + active=""
# Define a class with a g... | Python Programming Basic Assignment/Assignment_14.ipynb |
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import os
import io
import detectron2
# import s... | demo/demo_feature_extraction_attr_given_box.ipynb |
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# + [markdown] id="ecRT5851lqEB"
# The **variance infl... | 08. Regression/09. Variance Inflation Factor for Multicolinearity.ipynb |
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# This is a small example of how to wrangle data.
# +... | Global Fertility Data Files.ipynb |
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# # Visualizing image data with astropy.visualization
... | instructor/08-wcsaxes_instructor.ipynb |
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# # Example notebook usage of DESI tile picker
# +
im... | TilePicker.ipynb |
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# hash: d8b274d99e8fb8d9facd229017fb192c20e27208... | shunt_connector/examples/create_s_and_e_shunt_model.ipynb |
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# # 数组与字符串的转换
# ## tostring 方法
import numpy as np
a... | 04. Python Numpy/09 data to & from string.ipynb |
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# # BinaryBrain のシステム操作
#
# ## 概要
# BinaryBrain... | samples/python/introduction/binarybrain_system.ipynb |
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# Import modules
import pylab
import numpy as np
x = ... | Regularization.ipynb |
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import pandas as pd
from pandas import Seri... | Titanic_udemy walk thur.ipynb |
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import os
import numpy as np
import pandas as pd
... | notebooks/applications_and_premits.ipynb |
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import fastbook
fastbook.setup_book()
from fastbook im... | bear_classifier.ipynb |
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# Copyright (c) 2020, salesforce.com, inc.
# All rig... | tutorials/economic_simulation_advanced.ipynb |
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# installing packages (if they do not exist)
# !conda ... | detector/dynamit-v-1.1.ipynb |
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# # MCMC sampling using the emcee package
#
# ## Intro... | docs/tutorials/analysis/3D/mcmc_sampling.ipynb |
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# ### Import libraries you'll need
from urbansim_temp... | fall-2018-models/notebooks/generic_modeling_template.ipynb |
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import pandas as pd
import scipy as sp
import scipy.st... | dayoung_trial1/cgoongoo(groupby and get dummies).ipynb |
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# # Puzzle 1: Calculate the highest possible amp signa... | day7/Script7.ipynb |
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# name: python395jvsc74a57bd04e62c5f72907caf2f8e50c4e1b95548d48fade... | test/TDALL.ipynb |
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# ## Objetos
# ## Em python tudo é objeto
# criando u... | Cap05/objetos.ipynb |
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# **Reminder:**
# <ul>
# <li>The laminar flow creates ... | notebook/shabnam.ipynb |
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# +
import forge
from puzzle.puzzlepedia import puzzle... | src/puzzle/examples/mim/p9_2.ipynb |
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# # JOINING IMAGES
# +
import cv2
impor... | basics5.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python-v3/mathematics/interpolation-and-extrapolation-in-1d/python_Interpolation_and_Extrapolation_in_1D.ipynb |
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# ## Unsupervised Transformations for Data Exploration... | Projects in Python with Scikit-Learn- XGBoost- Pandas- Statsmodels- etc./Diabetes dataset (transformation with PCA, NMF, t-SNE manifold learning).ipynb |
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# # MNIST Image Classification with TensorFlow
#
# Thi... | courses/machine_learning/deepdive2/image_classification/labs/1_mnist_linear.ipynb |
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# # Boundary Modeling
#
# The following notebook is co... | examples/BoundaryModeling.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Analysis.ipynb |
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# ls
# cd Desktop/tensorflow-self-driven-car/
# ls
... | Behavioural Cloning.ipynb |
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# # Black Scholes Exercise 3: Numexpr implementation
#... | 3_BlackScholes_numexpr.ipynb |
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# name: python38664bitpythonicpipenv6de764fe9a9949f68e00c05971b5... | 04_data_handle/02_sqlite3.ipynb |
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# # Multiclass classifier
#
# Classify articles from a... | notebooks/chapter_03/02 - Multiclass classifier.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | coding-exercise/week4/part2/Augmentation.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | P2.ipynb |
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# + id="PWC1w1-0xJlE" colab={"base_uri": "https://localhost:8080/"} outputId=... | dataset/ck_plus_to_png.ipynb |
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# # Synthetic Control
# -------------------
# > The m... | lectures/synthethic-control/notebook.ipynb |
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# + pycharm={}
import os
import pandas as pd
from skle... | outputs/wine/64_nmf.ipynb |
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# # Coding Conventions
# Let's import fir... | module07_construction_and_design/07_01_coding_conventions.ipynb |
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import tensorflow as tf
from PIL import Image
import n... | my_3_test.ipynb |
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/ + [markdown] azdata_cell_guid="412dfc1e-a714-4f01-aeb5-ef0dde626c... | sql2019workshop/sql2019wks/08_DataVirtualization/sqldatahub/azuredb/azuredbexternaltable.ipynb |
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# !pip install SciPy
# Scipy - To perform Mathematic... | Scipy/Everything in SciPy.ipynb |
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# # User's Guide, Chapter 13: More Music21Object Attri... | documentation/source/usersGuide/usersGuide_13_music21object2.ipynb |
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#importing libraries
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#MIT License
#Copyright (c) [2021] [<NAME>]
#Per... | carclass_v11e_20210205_OB.ipynb |
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# # More Control Flow
# ### RECAP
# Ex.1 Write a pro... | Python_Class/Class_4.ipynb |
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# # Chainer の学習と推論を SageMaker で行う
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arr = [-13, -3, -25, 20, -3, 16, -23, -12, -5, 22, 15,... | 1. Largest Sum Contiguous SubArray.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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from IPython import display
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# + colab={} colab_type="code" id="TC-6xmJavHcb"
impor... | app/AI_Hackathon.ipynb |
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# + [markdown] id="4Pjmz-RORV8E"
# # Train without labels
#
# _This notebook ... | examples/17_Train_without_labels.ipynb |
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# # Think Bayes
#
# Copyright 2018 <NAME>
#
# MIT Lice... | examples/.ipynb_checkpoints/shuttle-checkpoint.ipynb |
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# # Example using random forest:
#
# In this example w... | examples/Notebooks_examples/Example_random_forest.ipynb |
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@my_deco
def add(a, b):
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# THink... | Decorator.ipynb |
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# # All Snippets (don´t run this notebook)
import sys... | notebooks/sandbox/sandbox_all/sandbox_all.ipynb |
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# # Consumer Loan Pricing
import loans
# The loans m... | write_up.ipynb |
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# # 任务2 数据清洗(2天)
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#coding:utf-8
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# # if, else, elif
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# # Graphical Causal Models
#
#
# ## Thinking About Ca... | causal-inference-for-the-brave-and-true/04-Graphical-Causal-Models.ipynb |
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# # NumPy Fundamentals
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$LOAD_PATH << File.dirname(__FILE__) + "/../lib"
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# <h1 align="center"> Circuit Analysis Using Sympy</h1... | week7/week7.ipynb |
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# ## [Troisi06](https://journals.aps.org/prl/abstract/10.1103... | notebooks/Troisi06.ipynb |