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#
# ### 1. Objetivos:
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#
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# #Neural Network and Recurrent Neural Network
# +
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# # Задачи по Python
# ### Задача 1
# Cохраните в пер... | 2,088 |
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# # APLICACIONES EN CIENCIAS DE COMPUTACION
# ## Labo... | 8,711 |
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from k... | 40,628 |
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# # V... | 13,728 |
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/dunn_bradsheet/test_files/dunn_bradsheet.ipynb | e23db2702ae6bc25c332188d59306cb2ea3ad9fc | [] | no_license | mikejaron1/Columbia_RA | https://github.com/mikejaron1/Columbia_RA | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,196 | # ---
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# # JuSpyce API test: cross validatio... | 6,896 |
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import cv2
import matplotlib.pyplot as plt
cap = cv2.... | 16,795 |
/Week 2/Tugas_Hari_2_Pekan_2_t.m.kemalisfan@gmail.com.ipynb | 11914f8a552ae0b31660b8b3f60cee5b48668537 | [] | no_license | Kemalisfan/Sanbercode-DS-Batch-20 | https://github.com/Kemalisfan/Sanbercode-DS-Batch-20 | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,107 | # ---
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# # TODO
#
# * find the varid horizon
# +
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# # KKBox Customer Churn Prediction
# ### w/ XGBOOST
... | 13,997 |
/Hw8/working/hw8_seq2seq.ipynb | 3de04d23ed623ce8be1d72f152b452eead21de0a | [] | no_license | donglaic/HungYiLeeMl2020Hw | https://github.com/donglaic/HungYiLeeMl2020Hw | 2 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 47,647 | # ---
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# # Chapter 6 Synchronous Machines
# ## Example 6.1,P... | 6,271 |
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/H1/.ipynb_checkpoints/HH1-checkpoint.ipynb | e9ac88d9b4446e3325947bd9e0a84e211964d2d5 | [] | no_license | IslamAlahovich/2kCODES | https://github.com/IslamAlahovich/2kCODES | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 196,275 | # ---
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# # PyMotions
# ## Giulia Passarelli, Hélio Paiva Neto... | 2,618 |
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# 
# ## Pr... | 2,557 |
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# # Introduction
#
# - The training ENV is on window-1... | 6,245 |
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# # Numpy deepdive
#
# Numpy - Numeric Python
# Diffe... | 1,392 |
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import torch
import torch.nn as nn
import os
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/Weather_Classification_using_CustomModel.ipynb | fe4958171989ce40c73d893fec425a41eee7ca56 | [] | no_license | Alishba18001778/WeatherClassification | https://github.com/Alishba18001778/WeatherClassification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 59,875 | # ---
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# ## For Loops
# Create a For loop that prints every ... | 824 |
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... | 8,359 |
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# # Developing our LightGBM model locally
#... | 11,190 |
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# #Activity 14
#
#
#
# + [markdown] id="itx... | 50,292 |
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'''
this program parses the description file,
in order... | 18,531 |
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# Exercícios de Revisão
# --
# Professor: Renato Rocha... | 35,591 |
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# question 23
def max_of_three(a, b, c):
if(a... | 15,937 |
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# The Fibonacci sequence is defined by the recurre... | 10,559 |
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def rollDie():
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import numpy as np
from sklearn im... | 5,854 |
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/Coursework_2_Final(1).ipynb | 2b617a5ff8f5d613f860caae3b372344471d351e | [] | no_license | MorbidCuriosity84/DecisionTrees | https://github.com/MorbidCuriosity84/DecisionTrees | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 594,088 | # ---
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# # HBase / HappyBase Tutorial
import happybase
# ##... | 3,598 |
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# -*-coding:utf-8-*-
"""
更新发票表企业信息
"""
import pymy... | 3,455 |
/pinecode_pdf.ipynb | c66d9cd21851dff26f508e9dee8401dbe42fba54 | [] | no_license | ObjectMatrix/100-days-of-code | https://github.com/ObjectMatrix/100-days-of-code | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,488 | # ---
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sc = SparkContext.get... | 7,813 |
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# <img src="https://s3-api.us... | 10,770 |
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# ## <font color='red'>Section 8:</font> Model Evaluat... | 32,020 |
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# Importing the libraries
import numpy as np
import ma... | 1,730 |
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import numpy as np
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# Kaggle Titanic Data Set
#
#... | 8,192 |
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# +
import numpy as np # linear algebra
import pandas ... | 15,282 |
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import numpy as np
import pandas as pd
data ... | 421 |
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library(MASS)
library(ISLR)
fix(Boston)
names(Boston)
head(Boston)
?... | 785 |
/Legacy/Library_Collection_EDA_pipeline.ipynb | 4cea0ab3294b29b9da58a7a6934fefbbb7baeead | [
"MIT"
] | permissive | Datalytyx-Data-Science/Hackathon | https://github.com/Datalytyx-Data-Science/Hackathon | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 179,092 | # ---
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# # Machine Learning for Demand Forecasting
# ### Use... | 10,951 |
/Covid_2020.ipynb | 9dbdbc6821c44c16e0d2d948eba1c200c016fff3 | [] | no_license | sureshsmart-7/Covid | https://github.com/sureshsmart-7/Covid | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 268,381 | # ---
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# # Data Visualization
import pandas as pd
import num... | 7,903 |
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