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# default_exp models.ROCKET
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import matplotlib.pyplot as pl... | Jupyter Notebooks/clustering_on_HTRU2.ipynb |
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import pandas as pd
import numpy as np
imp... | Analyses/.ipynb_checkpoints/prediction xdroite-checkpoint.ipynb |
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lst = ["jayanthi",99,72,4,{7,8,9},2,79]... | Untitled3.ipynb |
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from os import listdir
from numpy import asarray
from ... | data pre-processing.ipynb |
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# <img src='./img/intel-logo.jpg' width=50%, Fig1>
#
... | numpy/.ipynb_checkpoints/NumPy Basic Lecture01-checkpoint.ipynb |
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import numpy as np # useful for many scientific compu... | python/coursera_python/IBM/mat_plotlib.ipynb |
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import pandas as pd
sys.pat... | examples/rebeccabilbro/size_param_issue.ipynb |
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... | Code from forum 2.ipynb |
# ##### Copyright 2021 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/examples/appointments.ipynb |
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lista = [1,2,3,4,5,6]
lista
a = 6
b = 7
a + b
# # ... | usando notebook.ipynb |
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# # Testing Different Classifiers, Hyertuning Methods,... | MutlipleClassifiers(ObjectOriented)/.ipynb_checkpoints/classifier_diabetes-checkpoint.ipynb |
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# ### Symbolic Regressor Example v1.0
# <i>Use of the ... | notebooks/SymbolicRegressorExample.ipynb |
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# + [markdown] _cell_guid="be1fb74a-ea76-5d12-af9c-216... | titanic/exploratory-tutorial-titanic.ipynb |
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# <img src="images/title.png" alt="Drawing" style="wid... | 04_Cdiscount/Cdiscount_4_InferenceAndSubmit.ipynb |
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# %matplotlib inline
# %time from hikyuu.interactive.i... | hikyuu/examples/notebook/Demo/Demo1.ipynb |
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import numpy as np
import pandas as pd
from panda... | Python for Finance - Investment Fundamentals & Data Analytics/Calculating the Expected Return of a Stock (CAPM).ipynb |
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# # Output classe... | common/io/output.ipynb |
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# 1) Keep adding the next child till you get -1
#
# 2)... | 17 Generic Trees/17.03 Take Tree Input (Recursively).ipynb |
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# + [markdown] colab_type="text" id="_0el9BtuVbCF"
# #... | module_4_decision_trees/Decision_Trees_and_Random_Forest.ipynb |
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# Class #7: Object-oriented programming ("OOP") Python... | june-2019/7-oop.ipynb |
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import time
from collections import OrderedDict
im... | notebooks/SystemTester.ipynb |
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# # Linear Models and OLS
# *<NAME>*
#
# **Regression*... | Section 4/OLS.ipynb |
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# <center><h1> graphical and numerical for solar-lasso... | Section_3.1_simul_1/Simul_1a.ipynb |
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import matplotlib.pyplot as plt
import num... | rosas-mayra-homework3.ipynb |
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import sys
os.environ["CUDA_VISIBLE_DEVI... | notebooks/calc-pert.ipynb |
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from pathlib import Path
import sys, os
path = Pa... | CS 480 Computational Geometry/01 - Examples.ipynb |
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# <img src='./img/LogoWekeo_Copernicus_RGB_0.png' alt=... | ocean/Sentinel3/31_SRAL_Tracks.ipynb |
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# # NVIDIA Inference Server MNIST Example
#
# This exa... | examples/models/nvidia-mnist/nvidia_mnist.ipynb |
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# <img src="https://github.com/pmservice/ai-openscal... | notebooks/openscale-full-configuration.ipynb |
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import json
import re
with open('reading.json') a... | www/json/.ipynb_checkpoints/Formatting lit reading-checkpoint.ipynb |
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# # Quickstart Tu... | docs/source/quickstart.ipynb |
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# # Visualizing Chipotle's Data
# This time we are go... | 07_Visualization/Chipotle/Exercises.ipynb |
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# # An analysis of the *Mendoza Line* in MLB batting s... | baseball-final.ipynb |
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# ## Introduction
# The following analysis (Task_4_E... | analysis/Task4/Introduction.ipynb |
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import numpy as np
import... | case-study/multi-objective-BzNSN/BO-1400BzNSN.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Plant_Classification_VGG.ipynb |
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import numpy as np
import... | Neptune.ipynb |
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# ## 1.3 应运而生的在线系统
#
# ### 1.3.1 LaTeX在线系统的出现
#
# 上世纪8... | chapter-1/section3.ipynb |
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# # BeautifulSoup tutorial - basic web scrapping
# > "... | _notebooks/2020-10-27-web-scrap-tutorial.ipynb |
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def isPrime(n):
# Write your code here
result ... | Test.ipynb |
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# defau... | 00_Syllabus.ipynb |
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import os
import tensorflow as tf
import matplotli... | tensorflow/day4/exercise/04_08_CNN_classification_augumentation.ipynb |
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# # List
# +
# initialization methods
#1. Normal Met... | List, tuple, set, dictionary and map.ipynb |
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# ## ## Tuning Hyperparameters with Kears ... | 02_Anomaly Detection/Modell_0.1_KerasTuner2.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="_l3WhGKOv5-8" outputId=... | Objectdetection.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 1000} id="JmPaGLE... | Models/RoBERTa_with_sampling_updated.ipynb |
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import random
# # <span style="color:red"> Machine Le... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # Sparse Gaussian Process Regression
#
# ### <NAME>
... | presentation.ipynb |
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# # Introduction
# +
# install River, a Python librar... | Online learning in practice.ipynb |
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# %% [ma... | examples/abstract.ipynb |
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# + pycharm={"name": "#%%\n"}
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | attempts/Attempt_from_scratch_Keras_abstractive_text_summarization.ipynb |
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# ## Importing the required libraries
import librosa
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# + [markdown] id="acac685b-e43b-42ef-be1a-ff090c5ce04... | day-2/linear_regression_3d.ipynb |
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# # História das Olim... | src/project1.ipynb |
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# # [How to do mixup training from image files in Kera... | test_mixup_files.ipynb |
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# # Bonus: Temperature Analysis I
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# # Configuration
#
# _**Setting ... | sdk/jobs/configuration.ipynb |
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# 딕셔너리, 사전
# 특정 value 를 가지는 key
# key 에 대한 value... | django/python_basic_dictionary.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# **Disclaimer**: this notebook's compatibility with S... | public-notebooks/ATOMIC-1-load-and-convert-statsbomb-data.ipynb |
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# + [markdown] id="spZ51d-KS2jl"
# # Priprava okolja
# + id="n2r39hxkf7_k"
#... | sentiment_classification.ipynb |
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import numpy as np
import pandas as pd
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# #### 1. When is a client considered to be "authentic... | Coursera/Cisco Networking Basics Specializations/Course_4-Home_Networking_Basics/Week-3/Quiz/Week-3-Quiz.ipynb |
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# + [markdown] id="Y5ijY7DSFKzs"
# # Clean Slate: Labe... | notebooks/sex_offenses_labelling.ipynb |
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# In this notebook we explore the possibilities of fuz... | scripts/mynotebook.ipynb |
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# + [markdown] id="7PMMxIBbhhaA" colab_type="text"
# # Convert YOLO to tflite... | CPDS/Detector/Convertor/Convertor.ipynb |
# -*- coding: utf-8 -*-
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# # MLE and REML
# Machin... | docs/mle_reml.ipynb |
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from pyfmi import load_fmu
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# %load_ext autoreload
# %autoreload 2
# %matplotl... | examples.ipynb |
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# <table>
# <tr><td><img style="height: 15... | Dynamics_lab09_HagenPoiseuille.ipynb |
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# # Main
# This script demonstrates how the whole pipe... | src/main.ipynb |
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# # Using the FullPathMapper for Migration For Graph b... | examples/neb_path_mapping.ipynb |
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# # PDF->CSV status
# Copyright (C) 2021 ServiceNow, I... | project_tools/notebooks/Preprocessing_and_Dataset_Analysis/PDF to CSV status.ipynb |
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ReloadProject('deep_learning')
# # My models
# ## 20... | notebooks/new_learning/mountaincar_v0_guided_more_reward.ipynb |
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# name: python37664bitvelapipenvde09592071074... | ds/projects/post_here/post_here_2-small_full.ipynb |
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# ! pip install xgboost
from numpy import loadtxt ... | XGBM_LGBM.ipynb |
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# ## Top 'K' Frequent Numbers (medium)
#
# ```
# Exam... | ed_heaps.ipynb |
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import tensorflow as tf
import numpy as np
from da... | .ipynb_checkpoints/digit_recognition-checkpoint.ipynb |
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# # Midterm review
#
# ## 1- Measurement systems
# ###... | Lectures/10_MidTermReview.ipynb |
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# + hideCode=false hidePrompt=false
import numpy as np... | 2.2 Multiplying Matrices and Vectors/2.2 Multiplying Matrices and Vectors.ipynb |
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# # K-means Clustering
# ## Import resources and disp... | L04-010-Notebook-K_means.ipynb |
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# Tutorials for <NAME> <a href='https://jakevdp.github... | Plots3d.ipynb |
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import os
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# #### Pandas plot
# - 5 Easy Ways of Customi... | python/pandas/pandas_plot.ipynb |
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import re
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wi... | 2020/Day 4/Day 4 Pt. 2 Python.ipynb |
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# # Profiling TensorFlow Si... | 1.profiling/tf-resnet-profiling-single-gpu-single-node.ipynb |
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from functools import partial
import holoviews as... | examples/gallery/demos/VTKSlicer.ipynb |
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# + [markdown] Collapsed="false"
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# # Figure 4.1
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# states are cells of 4x4 grid
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# # Exploratory data analysis on the San Francisco 311... | moda/example/EDA-1H.ipynb |