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# + [markdown] tags=[]
# # Decision tree based models
... | hw8/original/lab_08_tree_models.ipynb |
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# + colab={} colab_type="code" id="vTs11WubmRhV"
# dow... | A1_example.ipynb |
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# ### with multithreading
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import requests
impor... | notebooks/multithread_benchmark.ipynb |
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# + pycharm={"name": "#%%\n"}
from matplotlib import c... | player_kda.ipynb |
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# # ADM Homework 1
# # Problem1
# ## Introduction
#... | Homework_1.ipynb |
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# # Lab 03: Resizing and slicing in PyTorch -- exercis... | codes/labs_lecture02/lab03_pytorch_tensor2/pytorch_tensor_part2_exercise.ipynb |
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import numpy as np
from PIL import Image
i... | notebooks/Model Prediction With TensorFlow Lite.ipynb |
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# # Продажи австралийского вина
# Известны ежемесячны... | 5 Data analysis applications/Homework/2 project wage forecast for Russia/wine.ipynb |
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# + [markdown] id="jR26RFkwXtvi"
# # **[HW5] Language Model**
# 1. DataLoader... | 05_Deep_Learning/sol/[HW5]Language_Model_solution.ipynb |
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# # Dream Bank
#
# # Part 2: Dimensionality Reduction ... | notebooks/Dream_Bank_Dimensionality_Reduction.ipynb |
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# # Looking for Sneaky Clickbait
# T... | py_back/clickbait_detector/notebooks/Looking for Sneaky Clickbait.ipynb |
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import pandas as pd
import numpy as np
import math
fro... | code/Group07_Review_Sentiment_Analysis.ipynb |
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# # Parte 4
#
# O objetivo dessa parte seria focado na... | task4.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | NetworkX_2.ipynb |
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# %matplotlib inline
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# # Enhanced chroma and chroma... | 0.7.2/_downloads/dd829ebb4b42787aeb07019d4e849af0/plot_chroma.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 05_timeseries.ipynb |
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# # Show Standard VeRoViz 3D Models
# This notebook pr... | examples/show_cesium_models.ipynb |
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# <!-- dom:TITLE: 2MA100 - Devoir Maison 1 -->... | DM1/devoir-1.ipynb |
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# Import some python libraries
# %matplotlib... | notebooks/hello_world.ipynb |
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#import the necessary packages
import pandas as pd
imp... | 7). Supervised Learning - Predicting Customer Churn/.ipynb_checkpoints/Telco Activity 1(Lesson 7)-checkpoint.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | language-model/Gujarati_Language_Model_ULMFiT.ipynb |
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# 10 Minutes to cuDF
# =======================
#
# Mod... | 10min_to_cuDF.ipynb |
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# ## [SEE THIS NOTEBOOK FOR HOW WE DEFINED "SALTINESS"... | Data Query & Processing/HN-1_Original_Data_Processing.ipynb |
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# %matplotlib inl... | Instructions/climate_starter.ipynb |
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# # 0.规则介绍
# - '
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import requests, pandas, getpass
api = 'h... | v1/MagIC API - Private Data.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="WqRHhRUCjznn" outputId=... | notebooks/dataflow_project_1.ipynb |
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import os
import pandas as pd
from oemof import s... | oemof_examples/oemof.solph/v0.4.x/schedule_flow/flow_schedule.ipynb |
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# %matplotlib inl... | climate.ipynb |
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# + [markdown] colab_type="text" id="pWS6oL4-dz6G"
# #... | notebooks/MAST/Kepler/kepler_combining_multiple_quarters/kepler_combining_multiple_quarters.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 002_Python_String_Methods/038_Python_String_split().ipynb |
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# # ☠️Crime Analysis of India🚩
# 📍 **... | Crime Analysis of India/model/crime-analysis-india.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Control Flow Statements
# The key thing to note ab... | 05_control_flow.ipynb |
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# #Tutoria... | Tutorials/IPython.ipynb |
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import xlwings as xw
import os
try:
aux=os.env... | scripts/val_test_proc_2sec.ipynb |
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# # Challenge Problem Week 1
# Hepatitis B (HEP B) is... | .ipynb_checkpoints/Challenge Problem Week 1-Student-checkpoint.ipynb |
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from sklearn.preprocessing import normalize
from sklea... | proj/data/tele.ipynb |
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my_list = ['1234', '5678', '3456']
my_list[0]
for my_... | files/day-2.ipynb |
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# # Estimating Proportions
# + [markdown] tags=[]
# T... | notebooks/chap04.ipynb |
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# ## Machine Learning for Humanists Day 2: Case Study
... | intro_to_ml_day2.ipynb |
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# # Seja um investidor na bolsa de valores com Python
... | tradingPython.ipynb |
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import matplotlib.pyplot as plt
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import cv2
import... | Face detection.ipynb |
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# # Sentdex
#
# In this notebook, we'll take a look at... | docs/memo/notebooks/data/sentdex.sentiment/notebook.ipynb |
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import numpy as np
from blimpy import read_header,... | misc/Select_from_distribution.ipynb |
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# Define the function "say_hello" so it prints "H... | function.ipynb |
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# # Project name here
#
# > Summary description here... | index.ipynb |
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import csv
import math
# from edu.kaist.ie.datastr... | week6-Binary Search Tree/dicisiontree.ipynb |
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# # Chemometrics
# <br>
# <NAME> / 2017 / Universidad del Valle
#
#
# An... | 3_chemometrics_linearRegression.ipynb |
# -*- coding: utf-8 -*-
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# <a id='perm-income-con... | dynamic_programming/perm_income_cons.ipynb |
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# # <center> Keras </center>
# ## <center>1.8 Overfitt... | Keras/keras13.ipynb |
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# ## 5.3 시계열 데이터를 예측하는 LSTM 구현
# LSTM을 이용해 시계열 데이터에 대한 예측
# +
... | colab_py37_k28/nb_ex5_2_lstm_airplane_cl.ipynb |
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# # Función filter()
# +
numeros = [2, 3, 4, 5, 6, 7,... | Fase 4 - Temas avanzados/Tema 15 - Funcionalidades avanzadas/Leccion 06 - Funcion filter.ipynb |
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# # Problemas
# ---
# Defina una función que tome com... | Practicas/practica4/Problemas.ipynb |
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#
# Creating a GeoDataFrame from... | create_geopandas_from_pandas.ipynb |
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import flaski
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# <img src="https://raw.githubusercontent.com/Qiskit/q... | algorithms/simon_algorithm.ipynb |
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# # Misc-tutorials
# ## 01- Startups and defaults
# ##... | notebooks/misc01-03_Jupyter_notebook_names.ipynb |
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# # USB Sensor API and Plots
# ## The following notebo... | building/USB_API_Call_Example.ipynb |
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# # Testing DEMV on _The Trump Effect_ dat... | trump.ipynb |
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# # Binary Digit Classifier Using QNN with GUI input
... | Pt-1-Binary Digit Classifier Using QNN with GUI input.ipynb |
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# # Midterm Exam (48 pts)
#
# ## <NAME> nd8288
#
# ###... | exams/exam-midterm.ipynb |
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# # OSM-OpenStreetMap地图数据处理
# - 用法：https://my.oschina.... | gis/osm/imposm.ipynb |
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// ![xleaflet](image... | notebooks/GeoJSON.ipynb |
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a=float(input("Digite o angulo que v... | .ipynb_checkpoints/EX018 - Seno, Cosseno e Tangente-checkpoint.ipynb |
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# # REINFORCE
#
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#
# In this notebook, we will tr... | reinforce/REINFORCE.ipynb |
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# # Introduction
# <div class="alert alert-info">
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# ## Cleaning flights.csv
#
# **NOTE::** This is only ... | week2/Assignments/assign_wk2/Clean_Flights_Data.ipynb |
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# # Выбор региона нефтедобычи
# ### Введение
# Нефтед... | Project 6 - Vybor regiona neftedobychi.ipynb |
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# # Subspace-search Variational Quantum Eigensolver
#
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# # Next Permutation
#
# Given an integer, find the ne... | Daily/Next permutation.ipynb |
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... | src/.ipynb_checkpoints/vade_main_notebook-checkpoint.ipynb |
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# ## 105 - Training Regressions
#
# This examp... | notebooks/samples/105 - Regression with DataConversion.ipynb |
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# # Network inference of categorical variables: non-se... | old_versions/1main-v5-MCMC-symmetry-equilibrium-ln4-update1spin-Copy3.ipynb |
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# ### Start from scratch: import matplotlib.pyplot as ... | Intermediate Python for Data Science/Matplotlib/02-Scatter plot (2).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # 列表和元组
#
# 今天我们一起来学习，Python 中最常见的两种数据结构... | module1/jupyter/list-tuple.ipynb |
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# # Scores
# ### Introduction:
#
# This time you will... | 07_Visualization/Scores/Exercises_with_solutions_code.ipynb |
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# <hr>
# <NAME> - LSCE (Climate and Environment Scienc... | notebooks/ferretmagic_02_PassDataFromPythonToFerret.ipynb |
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using Nemo
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using Nemo
function inv_fact(n)
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