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# + [markdown] id="WbiEDNVkEG3T"
# # SETUP
# + colab={"base_uri": "https://l... | 3rd place - ASSAZZIN/XL/Data Creation/S1-Test/S1Test_Observation1.ipynb |
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# # Ridge Regression
#
# **Ridge Regression** extends ... | cuml/ridge_regression_demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module4/LS_DS_224_assignment.ipynb |
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# Description:
# A simple and well formatt... | Sound data Analyzer.ipynb |
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# # NetworkX
# NetworkX is a Python language software... | tests/ipython-notebooks/NetworkX.ipynb |
# -*- coding: utf-8 -*-
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# # Item Collaborative Fil... | notebooks/TrainingAlphas/ItemCollaborativeFilteringBase.ipynb |
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# # Forecasting Energy Demand
#
# ## Data W... | 0_WRANGLING.ipynb |
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# # Model
#
# In this notebook we read in the previous... | udacity/data-scientist-nanodegree/sparkify/model.ipynb |
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# +... | _notebooks/2020-03-21-covid19-overview-us.ipynb |
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# # Get amino acids from TraCeR assemble
# This n... | collect_assemble/get_aa.ipynb |
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from json import loads
import numpy as np
import ... | examples/open_dataset.ipynb |
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# # Computer Vision Nanodegree
#
# ## Project: Image C... | 2_Training.ipynb |
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#Week 1 Assignment : Data Visualizatio... | week01/week01_ Assignment_Ana_Rita_Santos.ipynb |
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# **Load python libraries**
# +
# %matplotlib inline
... | Supplemental Video.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | notebooks/OW_Project.ipynb |
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# # Generating spatial weights
#
# `momepy` is using `l... | docs/user_guide/weights/weights_nb.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | Data Science Resources/Jose portila - ML/10-Cross-Val-and-LinReg-Project/.ipynb_checkpoints/03-Linear-Regression-Project-Exercise-Solutions-checkpoint.ipynb |
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import numpy as np
# Importing standard Qis... | simons.ipynb |
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# # I/O handling and settings #
#
# The raredecay pack... | howto/IO_handling_and_settings.ipynb |
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# * Vectorization is converting iterative ... | Numpy Vectorization.ipynb |
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# # Pre-trained weight usage
#
# A minimum example of ... | notebooks/pretrained_weights.ipynb |
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# Best Model i.e LSTM on Hist. of pixels (16 bin) is u... | Visualization_Best_Model.ipynb |
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# + id="JSjG64ra4aFu"
# from google.colab import drive... | CODS_COMAD/CIN/CIFAR_10k_complex_mini_inception_8layers.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | GRU.ipynb |
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# + [markdown] id="-3d28Q2JC6Rb" colab_type="text"
# ## Test the precision at... | notebooks/BW4_sgdc_precision_at_k.ipynb |
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# # Match Analysis
# +
import numpy as np
import pand... | KKR VS RR/Match Analysis KKR VS RR.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | PZR_bubblegeneration/Reward_Tester.ipynb |
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from DatasetHandler.BiwiBrowser import *
biwi = readB... | DeepRL_For_HPE/TestingBiwiBrowser.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# + id="ELQ-Q3GCD0Cg" colab_type="code" colab={}
import pandas as pd
import n... | matrix_one/day4.ipynb |
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# # Prepare per observation details
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impor... | prediction/5-contribution.ipynb |
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from sklearn.tree import Decis... | HelloWorld.ipynb |
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import torch
from torch import nn
from sklearn.pre... | AutoEncoder_CAVE_new.ipynb |
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# + [markdown] colab_type="text" id="4f3CKqFUqL2-" sli... | courses/machine_learning/deepdive/05_artandscience/labs/b_hyperparam.ipynb |
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from Integrais import Integrais as it
from EDO... | MAT 271/listaV.ipynb |
# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/nqueens.ipynb |
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class InsufficientBalance(Exception):
def __init__... | module08-class.and.oop.ipynb |
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# + [markdown] slideshow={"slide_... | m02_data_analysis/m02_c03_combining_data/m02_c03_combining_data.ipynb |
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# # Peer-graded Assignment Part B
# ## Instructions
#
# B. Normalize the data (5 marks)
#
# Repeat Part A but use a normalized version of the... | Course3/Capstone/PeerGradedPartB.ipynb |
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# + [markdown] colab_type="text" id="xlWqj4sv8Kqm"
# #... | Linear Regression/Code/Linear_regression.ipynb |
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# + [markdown] id="uSUfDrbZywvc"
# # Offline Replayer Evaluation II - Recogym... | _notebooks/2021-06-17-recostep-tutorial-offline-replayer-eval-recogym-small.ipynb |
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# # Подготовка... | reports/pretrained_model_test/preparation_and_evaluation.ipynb |
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import pandas as pd
import numpy as np
from sklearn im... | [02 - Modeling]/dos ver 5.1/wat-r2-model-v1.ipynb |
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# This notebook was prepared by [<NAME>](h... | bit_manipulation/bits_to_flip/bits_to_flip_challenge.ipynb |
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# # Problem Set 3
# ## Running and Interpre... | GSPP_240B_PS3.ipynb |
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# # Kvotekurver
# ### Norge
# ***
# %matplotlib inlin... | jup_notebooks/kvotekurver/kvotekurver_norge.ipynb |
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# # Discussion 10
#
# ## Web Visualization
#
# Web br... | sta141b/2017/discussion10.ipynb |
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import sys
sys.path.insert(0, '... | jupyter-notebooks/AD Experimentation.ipynb |
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# # Graph Fraud Detection with DGL on Amazo... | source/sagemaker/dgl-fraud-detection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled0.ipynb |
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# # Likevektskonsentrasjoner for en diprot... | jupyter/syrebase/diprotisk.ipynb |
# Solution to: [Day 3: Drawing Marbles](https://www.hackerrank.com/challenges/s10-mcq-6/problem)
# <h1 id="tocheading">Table of Contents</h1>
# <div id="toc"></div>
#
#
# - Table of Contents
# - Math Solution
# - Facts
# - Monte Carlo Solution
# - Imports
# - Constants
# - Auxiliary functions
# - M... | statistics/10_days/11_day3drawingmarbles.ipynb |
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from __future__ import division, print_function
im... | examples/test_full_img_stacking.ipynb |
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from gensim.models import KeyedVectors
from gensim.scr... | src/examples/Exploring Word Vectors.ipynb |
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# <script async src="https://www.googletagmanager.com/... | notebook/Tutorial-ADM_Initial_Data-UIUC_BlackHole.ipynb |
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# # Desafio 1
#
# Para esse desafio, vamos trabalhar c... | data-science-0/main.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] colab_type="text" id="copyright-notice"
# #### Copyright 2017 Google LLC.
# + cellView="both" colab={"a... | ml/cc/exercises/zh-CN/intro_to_neural_nets.ipynb |
# -*- coding: utf-8 -*-
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# # MLP GAN MNIST
# This ... | examples/gan-mlp.ipynb |
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import tensorflow as tf
from model import Unet
import ... | Unet/.ipynb_checkpoints/coco-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# # Make graph
file = "out.ego-twitter"
# ! head out... | datasets/directed/ego-twitter/Make graph.ipynb |
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# # !sudo pip install git+https://github.com/anttt... | notebooks/wordbatch-Copy1.ipynb |
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# # 1A.2 - Classes, méthodes, attributs, opérateurs et... | _doc/notebooks/td1a/td1a_correction_session5.ipynb |
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# # Collaborative filtering on the MovieLense Dataset
... | notebooks/recommendation_systems/labs/2_als_bqml.ipynb |
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# # Merge & Concat
#
# En muchas ocasion... | lectures/data_manipulation/data_manipulation/modulos_pandas/merge_concat.ipynb |
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# Figure(s) in the manuscript created by this notebook... | notebooks/04_FRAP-with-and-without-clustering.ipynb |
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# + [markdown] colab_type="text" id="sQFJ6aT4nfhw"
# [![O... | jupyter/enterprise/healthcare/NER_from_NERs.ipynb |
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# # T81-558: Applications of Deep Neural Ne... | t81_558_class_02_2_pandas_cat.ipynb |
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# # Assignment 02 - The simplest model ord... | assignment_02.ipynb |
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1+1
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# # Let's load Sag... | SummerSchool/SageTutorial/WelcomeNotebook.ipynb |
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# + [markdown] colab_type="text" id="V8-yl-s-WKMG"
# # EfficientDet Tutorial:... | efficientdet/tutorial.ipynb |
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# ## Lists
# Create a list, called "Numbers". L... | Python for Finance - Code Files/33 Lists/Python 2/Lists - Exercise_Py2.ipynb |
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# + [markdown] id="Za8-Nr5k11fh"
# ##### Copyright 2018 The TensorFlow Author... | Copia di l08c02_naive_forecasting.ipynb |
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from urllib.request import urlopen
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import warnings
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imp... | cleaning/01_cleaning_code_by_state/NC_cleaning.ipynb |
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# # Predict the magnitude of the next eathquake
impor... | output/mag-disc/backup/notebook/20180520-162116-mag-disc-relu-180-200es-46.ipynb |
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# + [markdown] id="ENx3XAmY6l5l"
# ## Bi-directional LSTM on IMDb dataset wit... | source/BiLSTM_with_Keras.ipynb |
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# #### Problem 1 (Morbidelli 8.1)
#
# Prove the follow... | hw9-Renyu Zheng.ipynb |
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# # Regression Plots
# Seaborn hat viele eingebaute Fä... | 3-Visualization/2-Seaborn/4-Regressionsdiagramme.ipynb |
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#default_exp flask_hello_world
# -
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# + [markdown] id="view-in-github" colab_type="text"
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# <small> <i> This notebook was prepared by <NAME>. Fo... | staging/arrays_strings/reverse_words/reverse_words_challenge.ipynb |
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matrix = [[1, 2, 3,], [4, 5, 6], [7, 8, 9]]
print(matr... | problems-review/note3.ipynb |
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import pandas as pd
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# To initialize ne... | Deep Learning/Image Dehazing using Tensorflow/Covid-CT-Lung.ipynb |
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# # Implementing a neural network in low-level tensorf... | practical exercises/solutions/E Boston Housing with low-level Tensorflow (not eager).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/slitherlink.ipynb |