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# + nbsphinx="hidden"
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# +... | _notebooks/2020-03-11-Mortality_Rate.ipynb |
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# + [markdown] id="V1JS0B802NXL"
# Before we dive deep into the world of PyTo... | _docs/nbs/reco-tut-ml-pytorch-fundamentals-tensors.ipynb |
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# # "Intro til Anvend... | _notebooks/test/_2021-04-19-intro.ipynb |
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# ![alt text for screen readers](UTCClogo.png "Univeri... | Chapter4_Loop.ipynb |
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# <table width="100%"> <tr>
# <td style="back... | bronze/B03_One_Bit.ipynb |
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# # Reading discussion - Scientific Python, IPython, J... | lectures/04-reading2-discussion.ipynb |
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# description: Python 3 pro... | 1-Lessons/Lesson10/OriginalPowerpoint/src/.ipynb_checkpoints/Monty Hall Game_TC&FF-checkpoint.ipynb |
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# ## Simple Binary Classification with defaults
#
# In... | examples/notebooks/03_Binary_Classification_with_Defaults.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | We_are_the_best.ipynb |
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# ### Grouping by cloudiness
#
# Let's group Sentinel-... | examples/clouds.ipynb |
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# # 8.12.3 Other Search Functions; Accessing Matches
... | examples/ch08/snippets_ipynb/08_12.03.ipynb |
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# + [markdown] nbgrader={}
# # Project Euler: Problem ... | assignments/assignment01/ProjectEuler1.ipynb |
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# <h1>Regular Expression</h1>
# <h3>Introduction to R... | Functional_Thinking/Lab/21B-Regular_Expressions.ipynb |
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import pandas as pd
import numpy as np
im... | Some_Plots_Michael.ipynb |
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import matplotlib.pyplot as plt
from matplotlib import... | SVM/SVMrbfkernel.ipynb |
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# %matplotlib widget
from util import get_path
import ... | amftrack/notebooks/development/First_realignment.ipynb |
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# + [markdown] id="ojm_6E9f9Kcf"
# # Wen CNN
#
# Simu... | Notebooks/Wen_CNN_106_colab.ipynb |
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/ + [markdown] cell_id="00001-a4b46aac-1fe9-49fe-99ff-c449f89c444e" deepnote_cell_type="markdown" tags=[]
/ **A) k-nak ... | members/dani/sebi_jav.ipynb |
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# # Concatenar y apen... | notebooks/T2 - 4 - Data Cleaning - Concatenación de datos.ipynb |
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# # Solving equations
# You will learn about working ... | 10/Solving_equations.ipynb |
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# # In this project, we will discuss:
# - How to fetch... | 4 company workers/project_3-checkpoint.ipynb |
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# # HSV colorspace
# ### Import resources
# +
import... | 1_1_Image_Representation/5_2. Green screen, HSV conversion.ipynb |
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imp... | callcc/CallCC.ipynb |
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# # Side Notes
#
# This notebook is a collection of mi... | SIDE_NOTES.ipynb |
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# # Preface
#
# If you're a reasonable person, you mig... | chapter01_crashcourse/preface.ipynb |
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# <a href="https://colab... | zero2.ipynb |
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# ## 1. Setup
from unet import UNet
# %matplotlib in... | neural_networks/unet.ipynb |
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# This Python 3 environment comes with many helpfu... | Analysis/HIV Visuals & World Cloud.ipynb |
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# # Helper Functions, will eventually live in pascal m... | experimentaldesign/Example_Experiment.ipynb |
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# ## Figure 18
#
# Similar to [Figure 16](https://github.com/EdwardJKim/astro... | paper/notebooks/figure18/perform_g_r.ipynb |
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# # Starbucks_Korea Crawler using Selenium
# +
# #!pi... | Starbucks_selenium_crawler.ipynb |
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# ## Setup
from sp... | analyses/seasonality_paper_1/no_temporal_shifts/model-new.ipynb |
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# # !pip install --upgrade google-api-python-client
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library(CausalImpact)
library(zoo)
# ## (3 балл... | task02/task.ipynb |
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import numpy as np
im... | Workflow /Final Model.ipynb |
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... | 2nd-layer-models.ipynb |
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# # Introduction to JumpStart - Semantic Se... | introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segmentation.ipynb |
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# ## Alle Excel - Dateien aus Ordner visualisieren
im... | UDEMY_Datavis_Python/11 - auf ordner zugreifen/Alle Excel - Dateien aus Ordner visualisieren (Musterloesung).ipynb |
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# # Statistics using SimpleITK
# We can us... | docs/22_feature_extraction/statistics_with_simpleitk.ipynb |
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import numpy as np
import matplotlib.image as mpimg
im... | Project 2 - Advanced Lane Finding.ipynb |
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# -*- coding: utf-8 -*-
"""
Created on Mon Jan 21,... | 22.Text-analysis.py.ipynb |
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# # SVM-SMOTE
#
# Creates new samples by interpol... | Section-05-Oversampling/05-08-SVM-SMOTE.ipynb |
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import torch
import matplotlib.pyplot as plt
import cv2
i... | .ipynb_checkpoints/Analysis-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import _pi... | icmc/createLFs.ipynb |
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name = 'Python'
age = 27
# ### 快速寫法
# 簡單快速，但又臭又長，不好維護... | Python/[Python] String formatting.ipynb |
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# #%load_ext wurlitzer
#^^^ the wurlitzer extensio... | Jupyter/PlanAndSim.ipynb |
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from IPython.display import Audio
sound_file = './beep... | Multilayer tests/NMI.ipynb |
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# # Listening Procedure
#
# This Jupyter notebook loa... | Listening.ipynb |
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# # "Iris Classification"
# > "Classification of flowe... | _notebooks/2021-01-26-IrisClassification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Klasifikasi_Penyakit_Pada_Tanaman_Apel_Berdasarkan_Citra_Daun_Menggunakan_Algoritma_CNN.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | coffee_analysis_solution.ipynb |
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# # First Order Initial Value Problem
#
#
# The more... | Chapter 01 - Euler Methods/.ipynb_checkpoints/102_Euler_method_with_Theorems_nonlinear_Growth_function-checkpoint.ipynb |
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import pymongo
from pymongo import MongoClient
i... | Database_Development/Intro_To_MongoDB/korean_and_english_only.ipynb |
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# %load_ext autoreload
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# -*- coding: utf-8 -*-
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# -... | 3 - Natural Language Processing with Sequence Models/Week 1/C3W1_L1_Introduction to Trax.ipynb |
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# Company XYZ is an Online Travel Agent, su... | 13.CitySimilarity/city_search.ipynb |
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import pandas as pd
import seaborn as sns
import nump... | notebooks/5.dowhy_tutorial.ipynb |
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# # Plot breach data
#
# Using this script you can plo... | Plot breach data.ipynb |
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# # Name
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# Data preparation using Spark on YARN with... | components/gcp/dataproc/submit_spark_job/sample.ipynb |
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# # Overview
#
# In this notebook, we will explore how... | samples/notebooks/Azure_Purview_Entity_Classification_Lineage.ipynb |
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# + id="gGP85eLPSNFw"
from sklearn.datasets import fetch_california_housing
f... | Hands-on-ML/Code/Chapter 10/subclassing_API.ipynb |
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# ## Quantum circuit for an exponential of pauli strin... | tutorials/LadderCircuits.ipynb |
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# # Mask Cover
# Percentage of masked pixels
import e... | notebooks/algorithms/mask_cover.ipynb |
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# %matplotlib inline
import numpy as np
from ... | SDSS/SDSS_bins100.ipynb |
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from sklearn.datasets import make_moons, make_circ... | notebooks/generate_dummy_data.ipynb |
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import os
from nipype.interfaces import fsl
from nipype... | notebooks/FMRI_level_12.ipynb |
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# # Tensorflow Introduction
#
# There are a number of ... | site/_build/jupyter_execute/notebooks/09-deep-learning1/Tensorflow Introduction.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Be... | translations/ko/ch-algorithms/bernstein-vazirani.ipynb |
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import matplotlib.pyplot as plt
import seaborn as ... | TF_model.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## Setup... | docs/source/client/notebooks/jupyter_setup.ipynb |
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# # Working with GPX files
using Unitful, Unitful... | Working with GPX files.ipynb |
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# # GroupBy
# ### Introduction:
#
# GroupBy can be su... | Phase_1/Pandas_groupby/alcohol_consumption_practice.ipynb |
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# This python script demonstrates the crea... | examples/example_parametric_shapes/make_CAD_from_points.ipynb |
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# ## Chessbits Solver
# Solve the chessbits puzzle usi... | chessbits.ipynb |
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# # Planning
# + [markdown] tags=[]
# # L... | 00 Get Your Shit Together/Planning.ipynb |
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# ### Clean data from Data_Gathering notebook
# Data w... | previous_final_project_examples/cochroch/Data_Cleaning.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="YJ12sG4P92gx" outputId=... | A_search.ipynb |
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# A scratch notebook - anything in here can be safely ... | development/scratch.ipynb |
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# # FABRIC API Examples: Jupyter Notebooks
#
# Your FABRIC Jupy... | start_here.ipynb |
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# # Programming Assignment:
# ## Готовим LDA по рецеп... | unsupervised-learning/week4/edit_CookingLDA_PA.ipynb |
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# # Script for Getti... | get_screenshots.ipynb |
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# from pathlib import Path
import os
from citlab_pytho... | extracting_masks-complex.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="dvaUszUz3R4K" outputId=... | src/transformer_speech/Speech.ipynb |
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import os
import random
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import torchv... | shb-vgg/exp/11-30_21-39_SHHB_VGG_1e-05_[flip+crop]/code/vis-vgg.ipynb |
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# <p> <center> <a href="../Start_Here.ipynb">Home Pa... | ai/Distributed_Deep_Learning/English/python/jupyter_notebook/2.1.System-Topology.ipynb |
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import numpy as np
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drug_df = pd.r... | Untitled.ipynb |
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# # Analytic PNS3 bounds for any number of... | jupyter_notebooks/analytic_pns3_bds_nz.ipynb |
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# ## Random Forest
# %load_ext autoreload
# %autorelo... | notebooks/RF_categorias.ipynb |
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# # Homework 7
# ## Due Date: Wednesday, October 25th... | Homework/HW7/HW7-final.ipynb |
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# # !pip install sqlalchemy
# # !pip install pymys... | casestudy/case3/scripts/bankdboperates3.ipynb |
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# (DPOCFC)=
# # 3.1 Definición de problem... | libro_optimizacion/temas/3.optimizacion_convexa/3.1/Definicion_de_problema_optimizacion_conjuntos_y_funciones_convexas.ipynb |
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# # Computing heatmaps for saliency methods
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impor... | saliency_methods/compute_explanations_heatmapping_methods.ipynb |
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# # Milestone Project 1: Walkthrough Steps Workbook
#
... | 04-Milestone Project - 1/.ipynb_checkpoints/02-Milestone Project 1 - Walkthrough Steps Workbook-checkpoint.ipynb |
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