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# # Predicting Numeric Outcomes with Linear Regression... | Chapter_05.ipynb |
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# name: python3__SAGEMAKER_INTERNAL... | ML_projects/1. Employee Salary Prediction/employee_salary_prediction_notebook.ipynb |
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import pandas as pd
import numpy as np
from ge... | Examples/Zipcodes.ipynb |
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from osbrain import run_agent
from osbrain import run_... | osBrain/LifeGoals_osBrain.ipynb |
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# + [markdown] id="H08esTFOYO99"
# # Main imports and ... | Task A/En/Training/Bert-Base-Approaches/roberta+Kimcnn+_f1_CE_loss+_Imbalance_datasampler.ipynb |
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# # RIVET Python API (pyrivet)
from pyrivet import ri... | example/RIVET Python API Tour.ipynb |
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# + tags=["parameters"]
epochs = 10
# We don't use the... | examples/tutorials/Part 12 bis - Encrypted Training on MNIST.ipynb |
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# + colab={"base_uri... | notebooks/RNN_models/RNN_12_preprocessing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 210707_NLP_Encoding+Decoding.ipynb |
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from cast_to_xarray import *
import cartopy.crs as ccr... | Cruise1_map.ipynb |
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# <img src="img/turtlebot.png" alt="TurtleBot" style="... | default.ipynb |
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# ## Introduction
#
# Underpinning all of the predicti... | examples/Time of day considerations.ipynb |
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import re
import requests
from bs4 import BeautifulSou... | .ipynb_checkpoints/iwf-championships-results-scraping-Copy1-checkpoint.ipynb |
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# Deep Learning Models -- A collection of various deep... | tensorflow1_ipynb/mechanics/image-data-chunking-npz.ipynb |
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# + [markdown] id="A-fObiRS6xuW"
# # Machine learning in Earth Engine
# + [m... | 3_Classification.ipynb |
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import freetype
from PIL import Image, ImageDraw
... | Untitled.ipynb |
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import numpy as np
import pandas as pd
from sklearn.pr... | MHEALTHDATASET/Mhealth Dataset Project.ipynb |
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import pandas as pd
import numpy as np
df = pd.read_c... | limpieza_texto.ipynb |
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# ## Load TSML filters
using TSML
# ## Create ar... | docs/notebooks/StaticPlotting.jl.ipynb |
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# # Multibin NormSys
# %pylab inline
import pyhf
imp... | docs/examples/notebooks/multichannel-normsys.ipynb |
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# https://scipython.com/blog/visualizing-a-vector-fiel... | Processed_examples/Dipole.ipynb |
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# ### Advanced in silico drug design workshop. Olomouc... | Multilayer_Perceptron_Keras/MLP_Keras.ipynb |
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# +
import sys
import numpy as np
import math
import m... | AnalysisNotebooks/DisorderAnalysis/PCF_2D+3D.ipynb |
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# tgb - 2/8/2019 - This script aims at predicting conv... | notebooks/tbeucler_devlog/005_Predicting_convective_and_radiative_heating_profiles.ipynb |
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# name: python392jvsc74a57bd0249cfc85c6a0073df... | 05-dataprocessing/code/5-5_preparing-training-data.ipynb |
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# # Mapping Te Papa’s collections
#
... | Mapping-Te-Papa-collections.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | tutorial5/ker_Reg.ipynb |
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import csv
import os
import json
import codecs
import ... | student2/student2/reaction_model.ipynb |
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dates = ["2019-01-19","2019-01-20","2019-01-21","2019-... | Rakesh/Conn Logs/Labelling_function.ipynb |
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# import libraries
import numpy as np
impo... | homees/Modeling.ipynb |
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# # ADVANCED TEXT MINING
#
# - 본 자료는 텍스트 마이닝을 활용한 연구 및... | practice-note/week_02/W02-2_advanced-text-mining_python-data-structure.ipynb |
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import tensorflow as tf
from tensorflow.keras import... | Machine_Learning/Conv_neu_network/Conv_network.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Prelim.ipynb |
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mySet = {1,2,3}
print(mySet)
print(type(mySet))
mySet... | Deep Data Dive - Set.ipynb |
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import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
impor... | bin/calculations/ssim/check_ssim.ipynb |
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# #############################################################... | notebooks/backup/Version-1.4/4.2-report-item-fail-rates-pilot.ipynb |
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# # Semi-Supervised Architope (SnP 500)
# ---
# - This... | GET_FFNN_is_ADAM/Architope_Standalone.ipynb |
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import pysnooper
class Solution:
@pysnooper.... | LeetCode3.ipynb |
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# # Spark ML model pipelines on Distributed Deep Neura... | examples/Spark_ML_Pipeline.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | docs/notebooks/06_Managing_Fuzzing.ipynb |
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# # Notebook for scraping missing country data
#
# Thi... | app/data/produce_institution_info.ipynb |
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# [Money Creation Examples](http://www.siebenbrunner.c... | examples/money_creation/Ex7_CBDC.ipynb |
# -*- coding: utf-8 -*-
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# # Dynamic Linear Models and Kalman Filter
# ##... | Dynamic Linear Models and Kalman Filter.ipynb |
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# + [markdown] id="ei6FwQgd96lu"
# # Titanic: Machine Learning from Disaster ... | Titanic_LC.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Chapter08/CH08/Code/Real+Estate+Prediction.ipynb |
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# <!-- dom:TITLE: Oscillations -->
# # Oscillations
# ... | doc/pub/harmonic/ipynb/.ipynb_checkpoints/harmonic-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # f... | 3 Wilson coefficients.ipynb |
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# Write a program that asks for a filename, then opens... | 3.3_codeHS.ipynb |
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from collections import namedtuple
import random
u... | devstuff/nearest_neighbors.ipynb |
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# + [markdown] colab_type="text" id="dOdCkKKdx_Fq"
# _... | module-1-begin-modeling-process/LS_DS_241_Begin_modeling_process.ipynb |
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# # The basics
#
# This tutorial demonstrates how to s... | tutorials/basics/basics.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
d... | models/Model 1 test - first attempt.ipynb |
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# # Japanese Text Overlay #
# This is a Japanese hiri... | Video_notebooks/Japanese Text Overlay.ipynb |
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import os
os.chdir('../')
from DeepPurpose import ... | DEMO/Make-DAVIS-Correlation-Figure.ipynb |
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# + active=""
# title = "SimplePETSc"
# da... | Tests/Data/Notebooks/SimplePETSc.ipynb |
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# + id="RUDVcP-N517W" colab={"base_uri": "https://localhost:8080/"} outputId=... | 415-final-project-sentiment-analysis-imdb-main/BERT/bert_final.ipynb |
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# # 二维异构表 `pandas.DataFrame`
# +
# %matplotlib widget... | rrpandas/ipynb/DataFrame.ipynb |
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# # Predicting driving speed violations wit... | introduction_to_applying_machine_learning/deepar_chicago_traffic_violations/deepar_chicago_traffic_violations.ipynb |
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# <a href="http://cocl.us/pytorch_link_top">
# <im... | EdX/IBM DL0110EN - Deep Learning with Python and PyTorch/1.3.2_pre-Built Datasets_and_transforms_v2.ipynb |
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# %matplotlib inline
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from... | ipynbs/factors/market_value.ipynb |
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# %mat... | foundation/applied-statistics/class_material_day_3/Linear_regression_mpg.ipynb |
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import pdb
import os
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from datetime imp... | promoter_project.ipynb |
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# !pip install "pydicom<2.0.0"
# !pip install dicompyl... | prototyping/lectures/archive/01-extract-mean-doses-from-structure.ipynb |
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// # The `Array` class
// The `Array` templa... | eigen/notebooks/04-array-class.ipynb |
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# ## Numpy...
import numpy as np
# <img src="https:/... | Day_33(Numpy).ipynb |
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#<NAME>
import numpy as np
import pandas as pd
import ... | Multivariate Linear Regression.ipynb |
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from scipy.spatial.distance import squareform, pdist, c... | individual PPIs.ipynb |
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# # Intro to Neural Networks
#
# ## Exercise: neurons ... | intel-DL101-Class2/.ipynb_checkpoints/02_Intro_NN_HW-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Object_Detection/Waste_Object_Detection_(Milestone_1).ipynb |
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import torch.nn.functional as F
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train1 = json.load(open('data/dureade... | merge.ipynb |
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# # Introductio... | Lesson1-IntroPyTorch.ipynb |
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# ## Image Clustering
from keras.preprocessing im... | .ipynb_checkpoints/Image Clustering_1-checkpoint.ipynb |
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# # Chebychev and cubic spline derivative approximatio... | _build/html/_sources/notebooks/app/06 Chebychev and cubic spline derivative approximation errors.ipynb |
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#
# # Lab Assignment 11:
# # Write a python program t... | Lab-Assignment-11th/Lab-Assignment-11th_with_resposeVariable_numeric.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <im... | aas_233_workshop/09-Photutils/photutils_extended.ipynb |
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# #### 1. Importing lib... | 3 - Airbnb - Scripts/3. Airbnb Geographic Visualization_V3.ipynb |
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import io
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# + [markdown] id="ehvmN7Yq2_j2" colab_type="text"
# # **Control Flow:**
# We... | Day_2_Control_Flow.ipynb |
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# ## Shape Detection
# ### Shape Detection
# ### Ins... | Object Detection and Tracking/Sathyashree/Sathyashree_OpenCV_Shape_Detection.ipynb |
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# Dependencies
import numpy as np
import pandas as pd
from scip... | 05-Matplotlib/3/Activities/07-Ins_Students_t_test/Solved/ttest.ipynb |
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# # Watershed Distance Transform for 3D Data
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# I... | scripts/watershed/Watershed Transform 3D Fully Convolutional.ipynb |
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# # Appendix 3: reweighting existing... | examples/tutorial_particle_physics/A3_reweighting_existing_samples.ipynb |
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#download and unzip data
''... | prepare_data.ipynb |
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# # 2.1 Imports
import numpy as np
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# ___
#
# <a href='https://www.udemy.com/user/joseport... | Complete Python 3/01-Python Comparison Operators/01-Comparison Operators.ipynb |
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import cv2
import tensorflow as tf
import numpy as np
... | Cats_vs_Dogs/Predict_Dog_vs_Cat.ipynb |
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# # NumPy
#
# **NumPy** é uma biblioteca de algebra linear.
# Ela impor... | python/02-data-analysis/1-numpy/008-arrays.ipynb |
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# # Comparaison de lexiques créoles
#
# Vous disposez ... | 2.data-structures/answers/8.creole-lexicons.ipynb |
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from Bio import SeqIO
import ba... | scripts/acknowledgment-table.ipynb |