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import pandas as pd
import seaborn as sns
import n... | project_5/.ipynb_checkpoints/python_report_jaredthacker-checkpoint.ipynb |
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# ## Sampling: Emcee Hammer MCMC
#
# This example show... | examples/sampling-emcee-hammer.ipynb |
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# # Clustering [DBSCAN]
# ---
# - Author: <NAME>
# - G... | Machine-Learning-Fundamentals/clustering_dbscan.ipynb |
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# + id="lBNOQZHf_dwf" colab_type="code" colab={"base_uri": "https://localhost... | CombinedFInalUnit4BW.ipynb |
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# %matplotlib inline
from pathlib import Path
import ... | sebastiaan-mathot/asyncio/03_crop_iberico_tables.ipynb |
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# # [Py-OO] Aula 02
#
# ## Herança
# O que você vai ap... | 02-python-oo/aula-02/Aula 02.ipynb |
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trips=pd.read_csv('trips.csv')
import redis
import p... | Python-notebooks/FirstJupyter.ipynb |
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import pandas as pd
import numpy as np
import seaborn as sns... | scripts/figure2/PCA Plots.ipynb |
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# + colab={"autoexec": {"startup": false, "wait_i... | tensor2tensor/notebooks/hello_t2t-rl.ipynb |
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// :timing
// :dep nalgebra = "0.16.12"
// :dep ... | examples/sample_nalgebra.ipynb |
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# # Create and Manipulate Tables Using the `datascienc... | minilabs/create-and-mainipulate-tables-using-the-datascience-library/create_and_manipulate_tables_minilab_3.ipynb |
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# # Using PyTorch with TensorRT through ONNX:
# Tenso... | quickstart/IntroNotebooks/4. Using PyTorch through ONNX.ipynb |
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# # Chapter 4: Expectation
#
# This Jupyter notebook... | Ch4.ipynb |
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# references : http://nbviewer.jupyter.org/gist/Financ... | SSU/trading_exercise/Moving_Average_strategy.ipynb |
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# # T M V A_Tutorial_Classification_Tmva_Test
# TMVA ... | MVA/TMVA_tutorial_classification_tmva_test.py.nbconvert.ipynb |
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import numpy as np
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import aoc
S = aoc.Session(2019, 2)
i = S.problem()
... | 2.ipynb |
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# # AoC Day 1
#
# <NAME>
#
# 1 December 2021
#
# ## Pr... | 2021/Day_01.ipynb |
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# # Activity #1 - intro to traitlets and object orient... | week06/prep_notebook_week06.ipynb |
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# # Flipping coins with Professor Mittens
# ## Outlin... | example-1/example-1-questions.ipynb |
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# importing packages
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import xarray as xr
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# # N-Gram Frequency Calculator from Scratch
#
# Sourc... | *NLP/N-Gram From Scratch.ipynb |
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# # Waterfilling Levels
import sys
sys.path.insert(1,... | older_model/simulations/multi_resource/waterfilling_levels.ipynb |
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# # <span style="color:orange">Clustering Tutorial (C... | tutorials/Clustering Tutorial Level Expert - CLU103.ipynb |
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import matplotlib.pyplot as plt
from rvseg import ... | notebooks/Data Augmentation.ipynb |
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# # Chapter 7. Ulysses’ Compass
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import warnings
... | notebooks/07_ulysses_compass.ipynb |
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# # Implementation of the first-visit Monte C... | reinforcement learning/02-first-visit-monte-carlo.ipynb |
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# # Lesson 04 - Introduction to Lists
#
# ### The foll... | files/notebooks/dsci_303_503/04 - Introduction to Lists.ipynb |
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// # Interactive Computing in Scala with Jup... | notebooks/interactive_computing_article.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PRL_8_QLearning_EGreedy.ipynb |
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from sklearn.preprocessing import ... | notebooks/Node2Vec Reddit.ipynb |
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# ## Step 1 - Scraping
# # NASA Mars News
# Scrape the... | mission_to_mars.ipynb |
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library(Signac)
library(Seurat)
library(rtracklayer)
library(Genomic... | figure_4/figure_4_R.ipynb |
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# see http://stackoverflow.com/questions/1907993/autor... | evaluate_model.ipynb |
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# # ETL Notebook
#
# Loads the raw json data and write... | etl.ipynb |
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import numpy as np
import pandas as pd
pd.core.com... | Projects/Glyphs/.ipynb_checkpoints/Graph Partial Correlations-checkpoint.ipynb |
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# + [markdown] id="LOwI__BZwC1V"
# # 官方技术文档 @
#
# https://docs.python.org/3/t... | fancy_output_formatting.ipynb |
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# # This notebooks shows some basic operations for Qua... | Notebooks/Some_basics.ipynb |
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# %matplotlib inline
#
# Exercise 7
# ===========
#
#... | _downloads/plot_exercise_7.ipynb |
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'''
PG解决Pong
作业4 Po... | notebook/lesson4_PG.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | knn_iris.ipynb |
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# ## Reading the midi File and finding the chords
fro... | 1.2_ChordDistance(Nested_patches).ipynb |
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# name: python388jvsc74a57bd097ae724bfa85b9b34df7982b8bb8c7216f435b92... | notebooks/6 - preproces NEMO-MEDUSA projections.ipynb |
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# +
# default_exp predicttarg
# -
# # predicttarg
#
# > ... | 03_predicttarg.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | ML/6-NeuarlNetwork.ipynb |
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# ## Lecture session for 1) class and objects in Pytho... | 1-Lessons/Lesson06/OriginalPowerpoint/src/ClassObjects_FileHandling_LectureSession.ipynb |
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# # MASSP SINH HỌC 2018
# ## Giới thiệu về Python (Phầ... | Notebooks/Gioi thieu Python 3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | train_models.ipynb |
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import pandas as pd
import numpy as np
impo... | notebooks/EDA/medications[EDA].ipynb |
# -*- coding: utf-8 -*-
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# # Pleiades Work-Precisio... | notebook/NonStiffODE/Pleiades_wpd.ipynb |
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# <img alt="QuantRocket logo" src="https... | quant_finance_lectures/Lecture44-ARCH-GARCH-and-GMM.ipynb |
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# # Spam detector
#
# **Predicting the probability tha... | spam_detector.ipynb |
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# # Introduction to NumPy
#
# ## Topics
# - Basic Syna... | 03-NumPy-and-Linear-Algebra/numpy_Introduction_class.ipynb |
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# # How to train your own w... | 16_word_embeddings/04_financal_news_word2vec_tensorflow.ipynb |
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import pandas as pd
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# # example with comments
# This markdown contains a ... | _unittests/ut_helpgen/notebooks_comment/example_with_comments.ipynb |
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# ## Word Embeddings
# Word Embeddings transform text... | 1_Neural_Networks_Review/Word Embeddings.ipynb |
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# + code_folding=[0]
# #!/usr/bin/env python
"""
Usag... | src/experiments/MNIST_Lasagne.ipynb |
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import os,sys
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sys.path.append(os.p... | nlp/nlp_solutions/metadata_based_colloborative_filtering.ipynb |
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# + tags=["remove-input", "active-ipy... | openmdao/docs/openmdao_book/features/building_blocks/components/vector_magnitude_comp.ipynb |
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# + [markdown] id="frbcFJhiroMQ" colab_type="text"
# #... | Flight_delay_prediction/Flight_delay_prediction_template.ipynb |
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def update_kg_final(train, test, kg):
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Func... | run_kgat.ipynb |
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import pandas as pd
# Read in the dataframe
f_n... | VineReviewAnalysis.ipynb |
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# # Derivatives of a TPS
# +
import os
import numpy a... | menpofit/Transform/Thin_Plate_Splines_Derivatives.ipynb |
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import os
import pandas as pd
from sklearn.tree im... | soinn_test.ipynb |
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import sys
from PyQt5.QtWidgets import QApplicatio... | pyqt5(button).ipynb |
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import numpy as np
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fro... | ipynb/GroEL-GroES_skopi.ipynb |
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# + [markdown] colab_type="text" id="DweYe9FcbMK_"
# ##### Copyright 2019 The... | site/id/tutorials/load_data/csv.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 01 Python/06 Strings & Dctionaries.ipynb |
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# 9 May 2017
#
# <NAME>
#
# This notebook demonstrates... | demo_Shape dataframe.ipynb |
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# # Extending `pandas` to other ecosystems
import... | idiomatic_pandas/extending.ipynb |
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# # Vectors Lab
#
# In this notebook you will learn ho... | linearalgebra-vectors_lab/vectors_lab.ipynb |
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# # Exercise 1 - Sakila Star Schema & ETL
#
# All t... | 2_dend_cloud_data_warehouses/notebooks/L1 E1 - Step 1 and 2.ipynb |
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# # Command line interface (`CLI`)
#
# After install Carpyncho ... | docs/source/tutorials/01_cli.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | study_roadmaps/4_image_classification_zoo/Classifier - American Sign Language Dataset.ipynb |
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# # Lecture 11
# ## CNN Class Layers Ensemble
# <hr/>
... | Lecture_11 CNN_Class_Layers_Ensemble.ipynb |
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# ## Imports
# ##### Spacy package import:
# ## ... | demo-try-yourself/demo_day_4_empty.ipynb |
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# # Classification
# 제일 큰 확률을 만드는 Y값은 무엇인가? 의 접근에서부터 시... | 3_math_for_datascience/03_Probability/20180217_03_06_Bayes'_and_Classification.ipynb |
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# # Hybrid Recommendations with the Movie Lense Datase... | courses/machine_learning/deepdive2/recommendation_systems/solutions/als_bqml_hybrid.ipynb |
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# + [markdown] toc-hr-collapsed=false
# # Introduction... | preprocessing/feat_br_orc_v2_ana.ipynb |
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#7_PAH_zf_morphology
import numpy as np
import p... | code/latest/2_bmd/2_bmd_cal_itself/latest/7_PAH/morphology/Main_Wrapper_BMD_Analysis_7_PAHs.ipynb |
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# # Inverse perspective mapping
# ## Sett... | code/tests/lane_detection/inverse_perspective_mapping.ipynb |
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# # Morphological transformation
#
# Date: 2021/8/29
#... | python/MorphologicalTransformation.ipynb |
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# # SAU-Explore
# ## Code usage
# Let's ... | run_basic_example.ipynb |
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# # Google Playstore Case Study
# In this module you’... | 1. Python Introductory Course/4. Data Visualization/Case Study Notebook/Data Visualisation in Python - Case Study.ipynb |
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url=['http://www.17k.com/book/28011... | zuoye2 cly.ipynb |
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# + [markdown] id="zsWZU7NMi2vJ"
# ### Creating ``.fit()``, `.compile()` and ... | 11_Custom_Model_Fit_and_Training_Loops/03_Custom_compile_fit_evaluate_all_APIs.ipynb |
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# Aufgabe 1
import pandas as pd
automobiles = pd.read_... | self/A0-pandas_intro_automobile.ipynb |