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import os,sys
sys.path.appen... | Experiments/Test/Test_50_600.ipynb |
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# # Exploring Ensemble Methods
# In this assignment, ... | Machine_Learning_Classification/module-8-boosting-assignment-1-blank.ipynb |
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... | eda/subreddit/eda-lonely.ipynb |
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# + [markdown] id="MfBg1C5NB3X0"
# # Ungraded lab: Distributed Strategies wit... | 3_Machine Learning Modeling Pipelines in Production/Week3/C3_W3_Lab_1_Distributed_Training.ipynb |
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# + [markdown] id="HW777fm6jEK2"
# # **CNN for multi-class classification**
... | Problem2.ipynb |
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# # Create dynamic table for Top 50 interactions for C... | COAD-DRD/scripts/full_Table.ipynb |
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# + [markdown] id="2EU2eYXohNR5" colab_type="text"
# ## Ribbon CNN Training N... | CNN_k_fold.ipynb |
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import s3fs
import numpy as np
import pandas as pd
fro... | Cleaning_and_Merging/Providers_updated_430_txt null value imputations.ipynb |
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# # 정규 표현식 살펴보기
#
# 정규 표현식(Regular Expressions)은 복잡한 문... | JumptoPython/Part_7_Regular Expression(Regex)/07-1_Regular_Expressions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled0.ipynb |
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# <div style="color:#303030;font-family:'arial blAC... | A.Signal_Acquisition/A010 Digital to Analog Converter - DAC.ipynb |
# -*- coding: utf-8 -*-
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# # Baseline examples
#
# ... | examples/Baseline_examples_2.ipynb |
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# In this notebook, we are going discuss about methods... | extra/Evaluation_Metrics.ipynb |
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# # Import Libaries
# +
import os
import shutil
impor... | 3D_House.ipynb |
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# ## Multiple linear regression
#
# *... | additional_content/baselines/multiple_linear_regression_column_based-R2B5.ipynb |
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# + id="v7L8ZT2almwl"
import pandas as pd
import numpy as np
import seaborn a... | tabular-playground-series-nov-2021/keras_playground_nov_2021.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | notebooks/preprocessing/3.2-tjc-feature-engineering.ipynb |
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# + pycharm={"name": "#%%\n"}
from sys import modules
... | examples/trec_28_deep_documents_preferences_depth_10.ipynb |
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# # Assignment 3 Naive bayes classifier
# ### <NAME> 1... | static/files/.ipynb_checkpoints/NaiveBayesClassifier-checkpoint.ipynb |
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from __future__ import absolute_import
import sys
sys.... | test_cases/.ipynb_checkpoints/Pip_converion_tester-checkpoint.ipynb |
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import os
#execfile(os.path.join(os.environ["SPARK_HOM... | Week5-Graph-based-music-recommender-task-1.ipynb |
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import numpy as np
import pandas as pd
from math impor... | tabular-playground-series/mar-2021/notebooks/pipeline.ipynb |
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import torch.nn as nn
import torch.nn.fu... | 5/CNN-Image-Classification-comments.ipynb |
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# + [markdown] papermill={} tags=["awesome-notebooks/N... | Naas/Naas_Notification_demo.ipynb |
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# Code for the midway progress report. Should accompl... | Midway Code.ipynb |
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# # Function Practice Exercises
#
# Problems are arran... | 03-Methods and functions/03-Function Practice Exercises.ipynb |
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# + active=""
# .. _fodselsnummer_userguide:
#
# fodse... | docs/source/user_guide/clean/clean_no_fodselsnummer.ipynb |
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##
# Advent of code 2019, AoC day 16 puzzle 1
# Th... | day16/day16a.ipynb |
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# %matplotlib inline
#
# # Explore labels
#
#
# In th... | docs/auto_examples/plot_labels.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | WeatherStation_Criteria_RawAllNOAA.ipynb |
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# + [markdown] colab_type="text" deletable=true editab... | 3_deepdream.ipynb |
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# # Sawppy Ackermann Math
# This Jupyter notebook work... | jupyter/Sawppy Ackermann Math.ipynb |
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# # Gamma ray spectroscopy
# ## Functions
# +
# # %l... | 4th sem practicals/gamma spectroscopy/gamma_spec.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <img src="http://hilpisch.com/tpq_logo.png" alt="The... | code/ch21/21_market_valuation.ipynb |
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# + id="aTuyBfHqzAcN" executionInfo={"status"... | tensorflow/day3/practice/P_03_07_ThoraricSurgery_prediction_weight_init.ipynb |
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# # JIT Exercise
# Use `jit` (either in f... | exercices/JIT.ipynb |
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# # Homework and bake-off: Word relatedness
__author_... | hw_wordrelatedness.ipynb |
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# %matplotlib inline
import pymc3 as pm
import numpy a... | Chapter 6/Bayesian Data Analysis Chapter 6.ipynb |
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# + [markdown] id="sXRKWNln4TDu" colab_type="text"
# # This notebook depicts ... | 7_data_listener.ipynb |
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# # Priority Comparison
# Goal: During the questionna... | notebooks/7) Compare_SeverityPriorities.ipynb |
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# # なぜ量子コンピューティングなのか？
# ## コンピューターとは何か？
#
# このページにアクセ... | translations/ja/intro/why-quantum-computing.ipynb |
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# +
# default_exp datasets.bases.interactions
# -
# # Interactions Dataset
#... | nbs/datasets/bases/datasets.bases.interactions.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# #### Поиск минимального числа.
# #### Search for the... | stepik/programming_on_python/2_6_0_tasks.ipynb |
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# Welcome
# -------
#
# Source: https://github.com/pio... | 07-bigdata-spark-databricks/pyspark-local-training/pyspark_welcome.ipynb |
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# + [markdown] run_control={"frozen": false, "read_onl... | notebooks/driver/Drive_BasicPDA.ipynb |
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# # Purpose
#
# This shows the improvement because of ... | paper_plots/MAIN_effect_of_critic/plot_improvement_vae.ipynb |
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# # Unified XKCD Colors
#
# 
#
# A few... | notebooks/Unified XKCD Colors.ipynb |
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from decision_tree import *
from data import my_da... | decide-tree/decision_tree_test.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
rf... | mofanpython/analyze_log.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | pipeline/pipeline-batch-scoring.ipynb |
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from scipy import stats
import pandas as pd
import sea... | notebooks/1b_simple_linear_regression_goodness_of_fit/1b_simple_linear_regression_goodness_of_fit.ipynb |
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# # Benchmarking Thinc ... | examples/05_benchmarking_layers.ipynb |
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# # Week 2
# ## Introduction to Solid State
# +
imp... | Week_3/.ipynb_checkpoints/week_3-checkpoint.ipynb |
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# **Pull in one grid cell from a CMIP6 model and run t... | notebooks/qdm_validation/single_gridcell_cmip6_rollingcdf_test.ipynb |
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# + [markdown] id="XdSyX7LEnCa3"
# The second major Python data structure is ... | Dictionary.ipynb |
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imp... | Untitled1.ipynb |
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# + pycharm={"is_executing": false}
# Source: https://... | hw1/others/gamma-dist.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Nabiila_Practice_Case_Statistics_.ipynb |
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# Copyright 2016 The TensorFlow Authors. All Right... | datasets/dataset_factory.ipynb |
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# 1. Write a Python program to print "Hello Python"?
#... | Python_Programming Assignment_1.ipynb |
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# <a href="https://githubtocolab.com/giswqs/geemap/blo... | examples/notebooks/15_convert_js_to_py.ipynb |
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# # [教學目標]
# - 以下程式碼將示範在 python 如何利用 numpy 計算出兩組數據之間的相... | 2nd-ML100Days/homework/D-009/Day_009_correlation_example.ipynb |
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# # Casting Classification as Regression, Regressing t... | Section 2/Part 2/2-2 Supervised Learning - Carl.ipynb |
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from selenium import webdriver
from se... | CST_Automation/pendputaway_automation.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | EDA/bird_bicycle.ipynb |
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# # The Wat
# For this project we will be using the jo... | jokes_generator/jokes_scraper.ipynb |
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from cgcglib import *
from fenics... | spacetime_wave_equation/cg_cg_wave.ipynb |
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... | data/.ipynb_checkpoints/Ben_EDA-checkpoint.ipynb |
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# hash: 31f2aee4e71d21fbe5cf8b01ff0e069b9275f589... | JupyterNotebooks/Labs/Lab 4.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | 3. Natural Language Processing in TensorFlow/Week 1.1 - Detecting sarcasm in news headlines with LSTM and CNN.ipynb |
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# HIDDEN
from datascience import *
from pro... | notebooks/Chapter_11/02_Reversibility.ipynb |
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# # Tutorial 5: CH<sub>4</sub> Adsorption in a Zeolite... | tutorials/Jupyter/Tutorial 4.ipynb |
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import pandas as pd
import re
import json
df = pd.rea... | data/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# ## Lesson 15 - Pandas Time Series
#
# *Adapted from ... | lessons/lesson15.ipynb |
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# !pip install -Uqq fastbook
from itertools import is... | analysis/Learn_Numbers.ipynb |
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# what do i need to do?
#
# I need to:
# * make a ... | notebooks/bdrug_workingNeural Network-Copy1.ipynb |
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# + id="MBLabwK1LkZd" cellView="form"
#@title <center><img src='https://i.img... | BlackPearl Template Posters.ipynb |
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from explore import *
pandas_vertices_from_plyfile('data/cube.ply')
pptk_plot_df(pandas_vertices_from_plyfile('data/cube.ply'))
plydata = l... | req1.2_import_functions.ipynb |
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# ## Error Analysis and Visualisation for XGBoost Mode... | notebooks/results/error_analysis_catboost_midlats.ipynb |
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# # LSST Camera Geometry
#
# <br>Owner(s): **<NAME>** ([@kadr... | Visualization/LsstCameraGeometry.ipynb |
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import numpy as np
from sklearn import preprocessing
i... | Particle Swarm Optimization/Objective_Functions-Copy1.ipynb |
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# # Tutorial demonstrating the basic funct... | sandpit/tutorial_iwatlas_basics.ipynb |
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# ### Example 1b: Linear convection in 2D, revisited
#... | examples/cfd/01_convection_revisited.ipynb |
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# ### Pascal's Triangle II
# + active=""
# Given a no... | 119. Pascal_s Triangle II.ipynb |
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# # North Atlantic Basin Hurricane Predictor Model
# ... | -bak/Model.ipynb |
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/ + [markdown] azdata_cell_guid="94dc5a40-ef57-4733-b53a-1dfcbe2ead... | sql2019workshop/sql2019wks/08_DataVirtualization/sqldatahub/cosmosdb/cosmosdbexternaltable.ipynb |
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from intel_invest.core import *
# # intel_inves... | index.ipynb |
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# # Getting Started with Accelerated Computing
#
# In ... | cuda_quiklabs/Accelerated Computing.ipynb |
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# # Audience Splitting in A/B Experiments
# > A tutori... | _notebooks/2020-01-15-audience-hashing.ipynb |
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# # Mask R-CNN - Train on Shapes Dataset
#
#
# This tr... | digipig/pigs_shapes/01_train_evaluate_pigs_heads_tails_model.ipynb |
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# # Simulating noise on Amazon Braket
#
# T... | examples/braket_features/Simulating_Noise_On_Amazon_Braket.ipynb |
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from BA_kernel_fu... | 02 Kernel-based Learning/Tutorial 05 - Support Vector Regression/BA_gram.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled26.ipynb |
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# <a href="https://colab... | Overfeat/Raccoon_ML.ipynb |