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library(tidyverse)
library(assertthat)
library(xtable)
plot_theme <- th... | notebooks/R-experiment-evaluation/subspace_heatmap.ipynb |
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# + [markdown] id="4e0b66e5"
# ### Visualizing and Pre... | notebooks/LinearRegression_Lara.ipynb |
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import selenium
from selenium import webdriver
fro... | bang_dream/bang_dream.ipynb |
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# # Bayesian Structural Time Series: Forec... | _basic-components/time-series/bsts-part-2-forecasting.ipynb |
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# REMEMBER: FIRST CREATE A COPY OF THIS FI... | assignments/assignment_3/assignment_3_jessica_finkel.ipynb |
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import os
import json
import pickle
import numpy a... | recommender_systems.ipynb |
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# # Load Data for Testing
# +
imp... | Hands-on lab/notebooks/Test Deployment.ipynb |
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# # "Understanding Photometric Interpretation"
# > "Lo... | _notebooks/2020-06-16-Understanding-Photometric-Interpretation.ipynb |
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a = 5
a
a = 10
a
a + a
type(a)
b = 20.3
c = a... | Python Objects and Data Structures/dictionaries.ipynb |
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# # Slowest eigen mode profile #
# %matplotlib notebo... | profile_slowest_mode.ipynb |
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import pandas as pd
import numpy as np
from plotn... | demo_plot/plotnine-examples/examples/geom_point.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_LS_DS5_142_Sampling_Confidence_Intervals_and_Hypothesis_Testing.ipynb |
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devo_continuar = True
if devo_continuar == True:
p... | Data Science e Estatistica - python/02 - Python/05 - Condicionais (if e else).ipynb |
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# # "backtesting crypto"
# > "How to fetch and backtes... | examples/2020-05-20-backtest_crypto.ipynb |
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# ### Exercise 2.04 : Detect Entities in a Set of Docu... | Chapter02/Exercise02.04/Exercise2.04.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Image/CIFAR10_pytrch.ipynb |
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# name: python37764bitcccondaf9be1bff0edc45b89bc... | desafios/desafio_5.ipynb |
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import sys
sys.path.append("../scripts/")
from mcl imp... | section_kalman_filter/kf.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | nbs_gil/data_science_bowl/data_science_bowl_training_9_feature_discovery.ipynb |
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# # Import XML
# %pylab inline
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import pyhf
impor... | docs/examples/notebooks/importxml.ipynb |
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# %matplotlib nbagg
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imp... | 9-dwt.ipynb |
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# # Tutorial 7 - Examples in Sparse + Low-Rank Spl... | src/Module C - Applications/T7 Examples in Sparse plus Low-Rank Splitting.ipynb |
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# # Unspervised Learning
# - Menemukan pola dari suat... | Bagian 8 - Unsupervised Learning/1. K-Means Clustering.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | LSTM.ipynb |
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# ##### Modelagem
import numpy as np
imp... | notebooks/modelagem.ipynb |
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import pandas as pd
import seaborn as... | src/experiments/resource_comparison.ipynb |
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# + [markdown] origin_pos=0
# # Introduction
# :label:`chap_introduction`
#
# Until recently, nearly every computer program that we interact w... | d2l-en/mxnet/chapter_introduction/index.ipynb |
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# So far, you have worked with datasets that we have p... | notebooks/data_viz_to_coder/raw/tut7.ipynb |
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# # Introduction à Python
# Python est un **langage**... | doc/python/1_intro.ipynb |
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... | Machine-Vison/Basics of OpenCV/Blob_Filtering .ipynb |
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# # 1. Introduction
#
# Welcome to the 2nd par... | 03-Data/01 Pandas Basics.ipynb |
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# # A short & practical introduction to Tensor Flow!
#... | Notebooks/Part_5/Phoneme_Recog_TF.ipynb |
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# __Note__: The code used here was heavily inspired by... | misc/datasets_exploration_and_visualization/exploring_task06_lung_cancer_data.ipynb |
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# # Get the archived version of a page closest to a pa... | get_a_memento.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 04_Largest_Palindrome_Product.ipynb |
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import pandas as pd
import numpy as np
from copy impor... | playground/make_lightcurve.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # F... | docs/notebooks/Project_of_your_choice.ipynb |
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# # Kaggle San Francisco Crime Classification
# ## Ber... | iterations/KK_scripts/sf_crime_feature_addition_updated_08_19_1058.ipynb |
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import cv2
from pathlib import Path
from random import... | Deprecated/Models/Frustration Model (Deprecated).ipynb |
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%load_ext autoreload
%autoreload 2
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%reload_ext au... | community_detection/group_segments/filtering_groups_stable-Copy1.ipynb |
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import sys
sys.path.append('.')
import model
# -... | contact-tracing/code/Python/Experiment--Contextual vs. General Privacy Concerns.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %m... | RangerQH-Res2NetPlus-Woof80.ipynb |
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# ## Notebook for training ML models on da... | notebooks/osr-1-train_with_cross_validation.ipynb |
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# # Identifying most common amenities that give Airbnb... | Airbnb_analytics_updated_overview.ipynb |
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# # W207 Group Project: Real vs Fake News ... | poc/eda_ai.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | notebooks/validation-optimisation/1.0-ajmk-Price-Function-To-Fit.ipynb |
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# <h1>Hawkes Split Distribution</h1><br>
# Training an... | Hawkes Split Distribution.ipynb |
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# Copyright Preferred Computational Chemistry, Inc.... | matlantis_contrib_examples/MD_Li_diffusion_in_LGPS/viewer.ipynb |
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# # Installation
# :label:`chap_installation`
#
# In order to get you up and running for hands-on learning experie... | d2l/pytorch/chapter_installation/index.ipynb |
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import sqlite3
bdd = sqlite3.connect(":memory:") ... | 09-bdd-relationnelle/exercice 2.ipynb |
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import pandas as pd
import numpy as ny
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# # (OPTIONAL) Final project: Training VAE
# This is ... | Bayesian Methods for Machine Learning/Coursera-BMML-Final-project/(OPTIONAL) Final project. Training VAE.ipynb |
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import pandas as pd
import seaborn as sns
d = pd.... | notebooks/examples_seaborn.ipynb |
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# ## Weight Initialization : Weight Init i... | 04_weight_initialization_torch.ipynb |
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import pandas as pd
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# # !wget http://www-stat.wha... | Python/ML_basic/4.Logistic Regression/4.Logistic_Regression_with_sklearn.ipynb |
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from fastai import *
from fastai.text import *
path =... | src/using_ulmfit_coarse.ipynb |
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# <a href="https://colab... | Solutions_3B_Estimating_the_correlation_between_two_variables_with_a_contingency_table_and_a_chi_squared_test.ipynb |
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import numpy as np
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import matplot... | The_frequency_of_a_Ricker.ipynb |
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# # Probability Learner
# This not... | ProbabilityLearner.ipynb |
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# ## Priority Queue - heapq
# In this demo, we are go... | python-dsa/Section3/heapq.ipynb |
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# # this script plots normalized tag expression
impor... | tag_vs_mRNA_signals/splotch_viz_spleen-tags.ipynb |
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# # Addition of Two Sample Objects
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# # Non-built Tags
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impo... | notebooks/04-Nonbuilt_Tags.ipynb |
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# # DS Automation Assignment
# Using our prepared chu... | Week_5_assignment_starter.ipynb |
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# # !wget https://cdn.commonvoice.mozilla.org/cv-c... | pretrained-model/prepare-stt/prepare-mixed-stt-train.ipynb |
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# + id="Wj4Onlwm2KCT" colab={"base_uri": "https://localhost:8080/"} outputId=... | keras-colab/retinanet_multi_object_detector.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 04_ingest/03_Register_S3_TSV_With_Athena.ipynb |
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# # Postprocess data
# ## Anomalies
#
# In ENSO resea... | docs-sphinx/source/jupyter_notebook_tutorials/postprocess_data.ipynb |
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# + id="hN0efWTBB8iw" colab_type="code" colab={}
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class Per... | others/Perceptron Implementation.ipynb |
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# # **Petunjuk TTS**
#
# Silakan simpan file... | Pertemuan 9/TTS_672019155.ipynb |
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for set_id in range(0,10):
... | random_prem_tensors/generate_randperm_sets.ipynb |
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impor... | shield-tunnel-plane-segment-analysis.ipynb |
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# # Regression Challenge
#
# Predicting the selling pr... | challenges/02 - Real Estate Regression Challenge.ipynb |
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# # A 1-D Groundwater Finite Difference Example
# ## <... | Module11_BoundaryValueProblems/.ipynb_checkpoints/FTCS_ExplicitExample-checkpoint.ipynb |
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import numpy as np
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from google... | Jupyter_Notebooks/The Attempts/.ipynb_checkpoints/data_collection2-checkpoint.ipynb |
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# # Project for Fundamentals for Data Analysis
# ## Li... | Project 2020 - Fundamentals for Data Analysis.ipynb |
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# # Translating Identifiers Into Factiva Codes
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# default_exp models
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# + [markdown] id="view-in-github" colab_type="text"
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# ## Reproduce Published osmFISH results with Starfis... | notebooks/osmFISH.ipynb |
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# # 손실 줄이기
# ## 반복방식
# ### 손실계산 예제
# * 가정: $y' = pr... | chapters/mlcc04-ReducingLoss.ipynb |
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# * Word2Vec
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from src.featur... | notebooks/exploratory/2021-04-24 Exploratory Model Development - Neural Network.ipynb |
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# Import libraries and modules
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