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# ## Before we begin
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# To talk to a MySQL database, ... | Lesson 3 - Introduction to Databases and SQL.ipynb |
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# name: python36664bitalexlvirtualenvb9f0b0a3af2a4e06a89ee778b9... | term-paper-GNN/Part3_Cora_Spectral2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ... | 02-bot_design/1_session.ipynb |
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# <table width="100%"> <tr>
# <td style="back... | bronze/B80_Inversion_About_the_Mean.ipynb |
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import turtle
def turtleReset():
turtle.reset()
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from helpers.utilities import *
# %run helpers/noteboo... | analyses/protein_vs_clinical/Survival.ipynb |
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# # Time Series Forecasting in Python
# ... | TimeSeriesForecastingARIMA.ipynb |
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// # STIL Integration
//
// [STIL](http:... | doc/groovy/STIL.ipynb |
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from switss.model import DTMC, ReachabilityForm
from s... | examples/groups.ipynb |
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# # How many children, 16 and under, have been shot in... | Child shooting victims in the 11th district.ipynb |
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import torch
import pickle
import numpy as np
from... | project_re/BERT_RE_TACRED_eval.ipynb |
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import tensorflow as tf
import keras
# from keras impo... | ipython notebooks/Mutivariate-LSTM.ipynb |
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# + [markdown] id="agEHopLVkhki" colab_type="text"
# #Exploring Corpora with ... | 1 - Exploring Corpora/code.ipynb |
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import numpy as np
import pandas as pd
import re
impor... | TP2-Predictor-Regresion-Lineal-Properati/Notebooks/Division datos por ciudades.ipynb |
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#default_exp ecoenv
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# ## Google Colab prepara... | ecoenv.ipynb |
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# Import NumPy and SciPy (not needed when using --pyla... | Day_02/00_Scipy/scipy_Practice.ipynb |
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# # Meat consumption worldwide
# ## Analysis questio... | worldwidemeat.ipynb |
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# ## The CUTE Classification Scheme
#
# Each _CUTE... | CUTEstExploration.ipynb |
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# ## Rappi
# https://www.rappi.com.ar/restaurantes/rap... | Scraping/2_HTTP_Avanzado/ejercicio/rappi-rapanui_solucion.ipynb |
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import pandas as pd
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df = pd.read_csv('data/Minjus... | df_loc_select_with_callable.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | The_tensorflow_version_magic.ipynb |
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# Normal model for <NAME>'s experiment (BDA3 p.66)
im... | content/zh/projects/bda3/Estimate_the_speed_of_light.ipynb |
// -*- coding: utf-8 -*-
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// # Lists of O... | csharp-101/12-Lists of Other Types.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/tree_level_lists/tree_level_lists_challenge.ipynb |
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# # Prep
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import sqlite3
import matplotlib
import... | Analysis.ipynb |
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# # Information Extraction Applications
# - Tagging ne... | 05_Information Extraction/01_Information Extraction.ipynb |
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import pandas as pd
import numpy as mp
import matplotl... | HR Analysis/HR anlysis.ipynb |
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# # Caesar Cipher
#
# **By <NAME>, Byte Sized Code**
... | Projects/Caesar Cipher.ipynb |
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# + [markdown] Collapsed="false" id="cOPFN... | archive/2022-02-BRO-Training/2022-02-BRO-Training.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/MIMO Systems/Segmentation/numerical_conditioning_mimo_laguerre.ipynb |
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# <!-- <div>
# <img src="attachment:image.png" ali... | BC4_crypto_forecasting/scripts/AVAX_notebook.ipynb |
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# # Qiskit Visualizations
from qiskit import *
from q... | tutorials/circuits/2_plotting_data_in_qiskit.ipynb |
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# # Face Recognition
#
# Welcome! In this assignment, ... | Convolutional Neural Networks/7_Face_Recognition/Face_Recognition.ipynb |
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# # GMM err... | Notebooks/debug_gmm_error.ipynb |
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# <img alt="QuantRocket logo" src="https... | quant_finance_lectures/Lecture39-Why-Hedge.ipynb |
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# # Validation
# In the validation step the trained ... | Notebooks/Validation.ipynb |
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# ## Task 1
# ##### Python to take a list as input an... | Tasks.ipynb |
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# # Richter's Predictor: Modeling Earthquake Damage
#
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# # Research Question 1
# ## How has COVID-19 affected... | Week 4 - Research Question 1.ipynb |
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# # Quem fez o ENEM 2016 apenas para treino
# ___
# ... | enem-4/Quem_e_treineiro_no_ENEM_2016.ipynb |
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# # KDD Cup 1999 Data
# http://kdd.ics.uci.edu/databa... | KDDCUP99_18.ipynb |
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import cv2
import numpy as np #this library use fo... | final project.ipynb |
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# # Unsupervised Analysis of Days of Week
#
# Treating... | UnsupervisedAnalysis.ipynb |
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# ### Excercise: use autoencoder (LSTM) for anomaly de... | 03_Applied_AI_DeepLearning/notebooks/week_3_1_anomaly_detection_keras_2.ipynb |
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# # 3. Load and Explore Dataset
import pandas as pd
i... | adv_dsi_lab_1/notebooks/1_elasticnet.ipynb |
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# # Implementation of RAKE
# (Based on: https://www.re... | Keyword_extraction.ipynb |
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# This notebook is intented to test, some of the
#... | tests/models/t5.ipynb |
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# # Monte Carlo A
#
# Simple Monte Carlo Demostration
... | Code/Monte Carlo A.ipynb |
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import matplotlib
import os
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import time
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# # Bag of Words Meets Bags of Popcorn
# This is the c... | Word2Vec.ipynb |
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# # Now You Code 4: Sentiment v1.0
#
# Let's write a b... | content/lessons/06/Now-You-Code/NYC4-Sentiment-v1.ipynb |
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# # Classification with Scikit-Learn
#
# In this lesso... | 02_ClassificationWithScikit-Learn.ipynb |
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"""
Given a string of opening and closing parentheses,... | Python for Algorithms, Data Structures, & Interviews/ Stacks, Queues, and Deques/Balanced Parentheses Check - Interview Problem.ipynb |
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# # IPython 与 RQAlpha
# ## 加载 RQAlpha magic
# %load_... | docs/source/notebooks/run-rqalpha-in-ipython.ipynb |
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# # Tutorial 1 for JetSeT v1.2.0-rc3
# +
from IPytho... | notebooks/Tutorial_1.ipynb |
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# # Library
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# <img width="50" src="https://carbonplan-assets.s3.am... | biochar/biochar.ipynb |
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from chembl_web... | notebooks/data_prep.ipynb |
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# # McKinsey Data Scientist Hackathon
#
# link: ... | McKinsey-Hackathon/20180310_McKinseyDSHackathon.ipynb |
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# # Submit Training Job Demo
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impor... | fml_manager/Examples/Toy_Example/toy_example_submit_job.ipynb |
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# # T81-558: Applications of Deep Ne... | t81_558_class_14_01_automl.ipynb |
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# %matplotlib inline
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# # Notes fro... | scratch/krauth_chapter_8.ipynb |
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# # Motif discovery and regulatory analysis - I
# # Ta... | 10_Motif-I/motif_1_inclass.ipynb |
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# # Shell Commands on the MetaCall Jupy... | examples/03-Shell-Commands-MetaCall-Jupyter-Notebook.ipynb |
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def print_greeting():
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# <table style="width:100%">
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# + id="KhJJX7bF55wA" colab_type="code" colab={}
import pandas as pd
import n... | DL_classification/sourcecode/ProjC2_resnet_final.ipynb |
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# + id="Kv0jZezPSORM"
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# !python -m pip inst... | modeling/notebook/pred_machine.ipynb |
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# # Plotting
#
# In this quickstart, we'll... | docs/examples/plotting.ipynb |
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class Employee:
no_empl=0;
raise_amou... | Employee Class.ipynb |
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# ## Goal
# The objective of this project is to build ... | notebooks/MajorLeagues.ipynb |
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# # Part 1: Spiral
# 
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# # Draw simple Square moti... | Python/7. Applications Fun/animation_fun/simple_turtle.ipynb |
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# # Lesson 9: Supervised Machine Learning
# *Use a set... | .ipynb_checkpoints/L09-Supervised_Machine_Learning-Lesson-checkpoint.ipynb |
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# <table>
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# + id="mIJRdeBNDfMb"
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import ... | cell_img/image_grid/file_paths_to_image_metadata_csv.ipynb |
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# Azure Climate Change Analysis
i... | projects/intro-to-ml-with-python/climatechange.ipynb |
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import random
def number_1(m,k,n):
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# + active=""
# %env MKL_NUM_THREADS=16
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# + id="JMx3BR_Doatb" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |
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# ## Example 4 - Blocking the ri... | causality_paper/notebooks/example4_blocking_paths.ipynb |
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