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/DDQN_with_gold_miner_env_RLComp2020.ipynb | 23e125982701eb3a39c2e026aabbc197c27fa74c | [] | no_license | 19521242bao/RLComp2020 | https://github.com/19521242bao/RLComp2020 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 310,364 | # ---
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# # Import libraries
# + ... | 56,623 |
/Notebooks/PDF_CDF_Normal.ipynb | 368aaef5451836766d9351d29e8fc56c29a41bf4 | [] | no_license | Andre-Williams22/DS-1.1-Data-Analysis | https://github.com/Andre-Williams22/DS-1.1-Data-Analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 160,740 | # ---
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# DFS, recursion
class Solution(object):
def ... | 7,231 |
/notebooks/williamgao666/visualization-of-wine-attributes.ipynb | b02b702f1f02d934ed0fbf7d95849bb0cb22ca1f | [] | no_license | Sayem-Mohammad-Imtiaz/kaggle-notebooks | https://github.com/Sayem-Mohammad-Imtiaz/kaggle-notebooks | 5 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,545 | # ---
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/OpenCv/3 Resimler Üzerinde Pixel İşlemleri ve Performans.ipynb | 06621872cf9dc0b1b75bf2fdf78d29324ee4a0bc | [] | no_license | emrahtema/emozade_tasimacilik | https://github.com/emrahtema/emozade_tasimacilik | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 58,792 | # ---
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import cv2 as cv
import numpy as np
import matplot... | 1,382 |
/fig_ipynb/chap04/.ipynb_checkpoints/fig4.12right2-checkpoint.ipynb | b14b04fe0a2b1fdb35aaaae99721df66b12c0986 | [] | no_license | tokadome/textbookDSP | https://github.com/tokadome/textbookDSP | 11 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,294 | # ---
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/RecommendReview_Analysis.ipynb | 04cd0ba4654be30b652f2c5a594e1bde6d2810d2 | [] | no_license | lauralesmana/Analyzing-Fall-Guys-Review | https://github.com/lauralesmana/Analyzing-Fall-Guys-Review | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 62,215 | # ---
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#notes, links, etc.
#FRED data:
#dataset: https:... | 7,805 |
/Disaggregated-Data/weather-like-plot-HICP-by-item-ver-2.ipynb | 1fea66bb37f8855615f33434add6df701725aef1 | [
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# # Supervised Learning - Classification Example
# Bef... | 7,588 |
/Fish.ipynb | 3b88f6b3ecfbc6750789da8d410c4dda631b93a5 | [] | no_license | vesko-vujovic/competitive-programming | https://github.com/vesko-vujovic/competitive-programming | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,353 | # ---
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import pandas as pd
dataset=pd.rea... | 1,278 |
/Bike_Decision_and_Random_Forest_Tree_Hot_Encoding_and_algo_params_change.ipynb | b05536b7b3c6195bbccb93fe84ab42e397728511 | [] | no_license | Dhatu/ML-DL-Projects | https://github.com/Dhatu/ML-DL-Projects | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 21,275 | # ---
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# # Transfer Learning
#
# In this notebook, you'll lea... | 9,716 |
/project.ipynb | 96fe443ecc270fd3bf376338e44336d1d8e6341c | [] | no_license | Yasin901/Graph-theory | https://github.com/Yasin901/Graph-theory | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 210,153 | # ---
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# # MTH5001: Introduction to Computer Programming 2018... | 28,957 |
/1.-Python/6.-Rock–Paper–Scissors/rock-paper-scissors_thomas_spitzer.ipynb | 02bbf756196c9c1663bd2ef6d45521559e89bbfe | [] | no_license | thomas-cares/data-prework | https://github.com/thomas-cares/data-prework | 0 | 0 | null | 2020-08-14T16:05:57 | 2020-07-15T14:23:20 | null | Jupyter Notebook | false | false | .py | 15,074 | # ---
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/Final Project/Code/.ipynb_checkpoints/6-Lnr_Rndm_uplow_Livindex-checkpoint.ipynb | 8821c1cbc00dc8cd832ba35a52ad16c0fd084ecb | [] | no_license | juanw31/fintech-Project-2 | https://github.com/juanw31/fintech-Project-2 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,717,115 | # ---
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import matplotlib as plt
import se... | 12,179 |
/notebooks/shakemap_damage_est.ipynb | 3e5d2983008621d1cca2d5dc52f18717d6892f67 | [
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/NN_from_scratch/.ipynb_checkpoints/Implement_nn_fromScratch-checkpoint.ipynb | a037327e063df283227613f4a0f2535a9dbe3a75 | [] | no_license | muditpassi/Machine_Learning | https://github.com/muditpassi/Machine_Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 709,932 | # ---
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from sklearn.l... | 9,287 |
/.ipynb_checkpoints/P1_giladgressel-checkpoint.ipynb | ed110461eb1572c4c3e612342b3116783d89aade | [] | no_license | giladgressel/CarND-LaneLines-P1 | https://github.com/giladgressel/CarND-LaneLines-P1 | 1 | 0 | null | 2016-10-31T14:30:06 | 2016-10-31T12:57:53 | null | Jupyter Notebook | false | false | .py | 496,305 | # ---
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# ### Imports
# Import the required librar... | 19,139 |
/01 Python-Programming/98 Python Datatype Memory allocation/98 Python Memory Allocation.ipynb | ed86af5d7a4a6b2e5b12f55b8dd97673cf7b5ac9 | [] | no_license | fenilmaisuria/Python | https://github.com/fenilmaisuria/Python | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,818 | # ---
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# > The sys.get... | 28,123 |
/NW dashboard code main.ipynb | c20c8f70bfc7fcf7fa8e3eece604a284ff916bcd | [] | no_license | ckelly146/covid-19analysis | https://github.com/ckelly146/covid-19analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 248,445 | # ---
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# DIY Covid-19 Dashboard - North West region
#
# - Dat... | 6,968 |
/updates/Ex 4 Part 2 of 3.ipynb | 055d7e7372ad1033270d1e7a47a7da9962b2e6e3 | [] | no_license | juliaknoblauch/adams | https://github.com/juliaknoblauch/adams | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,427 | # ---
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# # Regiment
# ### Introduction:
#
# Special thanks t... | 15,167 |
/Titanic_project.ipynb | d37f3a8483ed8c89969e53337c9f513b80f27883 | [] | no_license | anmol1512/Py-Data_analytics_bootcamp_project | https://github.com/anmol1512/Py-Data_analytics_bootcamp_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 78,602 | # ---
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/Medical_Exam.ipynb | 47f8a72312509a54ab14744bfa21a96a57f4391f | [] | no_license | nist-anil/Medical-Data-Visualizer | https://github.com/nist-anil/Medical-Data-Visualizer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 205,116 | # ---
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import numpy as np
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/date wine.ipynb | 0f25645c1c6200ffc7e7e89c3b2e0a2ebb3ea418 | [] | no_license | CrisESS/qm | https://github.com/CrisESS/qm | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 266,742 | # ---
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from sklearn import datasets
import pandas as pd
impor... | 2,733 |
/HeroesOfPymoli/main-checkpoint.ipynb | c7002f5e2b51ef43ceab9cc280e8a9e826499231 | [] | no_license | caseyjuergens/pandas-challenge | https://github.com/caseyjuergens/pandas-challenge | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 43,362 | # ---
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g = (x+1 for x in range(10))
next(g)
# +
def fib():
... | 8,262 |
/Colab Notebooks/test_tpu.ipynb | 643ac192afcfef1dd13342388b67ddd1def44c7e | [] | no_license | asit-pal/TIFR-H-Cavity-Ligand | https://github.com/asit-pal/TIFR-H-Cavity-Ligand | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,516 | # ---
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/car/other_models.ipynb | f9140714041b45562945f29975f95d1be9e0f585 | [] | no_license | srikanthpragada/DS_28_SEP_2020 | https://github.com/srikanthpragada/DS_28_SEP_2020 | 1 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 104,031 | # ---
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# import pandas library
import pandas as pd
import num... | 2,136 |
/House Price Prediction Using Machine and Deep Learning/Code/1 House Price Prediction - Data Preprocessing.ipynb | d87480a5c938109e0828cf3756e71fa69e9d0534 | [] | no_license | AbdallahElGhamry/Projects | https://github.com/AbdallahElGhamry/Projects | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 84,589 | # ---
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import torch
import torchvision ... | 17,838 |
/LinearRegression.ipynb | f65a6891a97de20f9eedc90f4116b00ca2bec635 | [] | no_license | felipepasquali/MachineLearning | https://github.com/felipepasquali/MachineLearning | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 148,047 | # ---
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# PART 1
# This Program is the solution for ex1 of Ma... | 4,961 |
/Step3_03.ipynb | 7b5eda545ce57538ff2851ac783a6cdce22f4e85 | [] | no_license | yusya23/DL_123 | https://github.com/yusya23/DL_123 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 73,219 | # ---
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# # Step3 演習03 Kerasチュートリアル
# ---
# 本演習は、Pyth... | 7,638 |
/pandas/multicolumn_ranking.ipynb | 9e218c4558bf2673d0b48f688d06f2aad0b93abe | [] | no_license | adkein/tutorials | https://github.com/adkein/tutorials | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 20,149 | # ---
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import pandas as pd
# +
# Initiali... | 1,392 |
/media/seminar/nacsi-rl/5_basic_tensorflow.ipynb | 9ca7fda33d482d742d6f504155828cbf3a6b43dd | [] | no_license | gritmind/review-paper | https://github.com/gritmind/review-paper | 5 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,516 | # ---
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# # Tensor... | 5,110 |
/python/PythonFundamentos-master/Cap03/Notebooks/DSA-Python-Cap03-03-While.ipynb | 37b395e0f2d077cfc5a86f5f487faa3d3e0417ab | [] | no_license | eduardotrein/leonesto | https://github.com/eduardotrein/leonesto | 0 | 0 | null | 2019-11-23T00:25:36 | 2019-11-23T00:14:22 | null | Jupyter Notebook | false | false | .py | 5,087 | # ---
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# # <font color='blue'>Data Science Academy - Python F... | 1,499 |
/shiny_files/points_boundary.ipynb | 369e671db3baf09a7791d7879617ab51c1f3be4d | [] | no_license | dingyif/Embolism_Detection | https://github.com/dingyif/Embolism_Detection | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 977,973 | # ---
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# Pratical Data Science Tutorial Project
# # pybedtoo... | 29,204 |
/lesson5/lesson5.ipynb | d715fa9478e431ae95a04b831c66db7f4136f9a4 | [] | no_license | myselfadmirer/Algorithms_for_Data_Analysis | https://github.com/myselfadmirer/Algorithms_for_Data_Analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 157,550 | # ---
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#planet-snowcover-snow/ASO_3M_SD_USCATE_20190705_4326_binary/15/5492... | 7,457 |
/workflow/ml_modelling/00_ml_workflow/al_plots_for_figure/ml_plots__v5.ipynb | a66d73e344dfa34f8034b4eb8ac98fec9d5dc94b | [] | no_license | flash-jaehyun/PROJ_IrOx_Active_Learning_OER | https://github.com/flash-jaehyun/PROJ_IrOx_Active_Learning_OER | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,893 | # -*- coding: utf-8 -*-
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# <h1>ME 233 Final Project: How to house</h1>
# <h3>By... | 20,890 |
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# ## 一、编写爬虫程序过程中遇到的问题及解决方法：
#
# ### 1. 问题：固定休眠时间触发反爬... | 14,041 |
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/results/singleUAV/analysis.ipynb | 6328cb0d9a630549fead2159b0095ad674d48c6b | [] | no_license | Rezenders/mas_uav | https://github.com/Rezenders/mas_uav | 13 | 5 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,732 | # ---
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# ## ANOMALY DETECTION TUTORIAL
# ### Anomaly Detecti... | 48,414 |
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import numpy as np
prese... | 5,573 |
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out... | 5,206 |
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import pytesseract
from P... | 10,367 |
/Natural Language Processing/Semantics and Sentiment Analysis/Semantics_and_WordVectors_with_Spacy.ipynb | 25ac41bc3c2cd404b8b8f454e86591dbdf7710c2 | [] | no_license | NooreldeanKoteb/Natural-Language-Processing-with-Spacy-and-Nltk | https://github.com/NooreldeanKoteb/Natural-Language-Processing-with-Spacy-and-Nltk | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,227 | # ---
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/Guided_Projects/Guided_Project_Exploring_Ebay_Car_Sales_Data/Basics.ipynb | 9cc2d60e953dda5bc76d836f922d903dc45c96d1 | [] | no_license | nveenverma1/Dataquest | https://github.com/nveenverma1/Dataquest | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 176,681 | # ---
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# - This Data is ta... | 8,671 |
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# # Exercício 4 - Com... | 576 |
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# + [markdown] id="yDriIbfa5lwD"
# #**Problem statement:**
# To build a CNN ... | 20,596 |
/Untitled.ipynb | 3f80f524ba721e2be194d21b1f0727080eaea221 | [] | no_license | laneliz/scw_june_capstone_data | https://github.com/laneliz/scw_june_capstone_data | 0 | 0 | null | 2016-06-12T22:19:35 | 2016-06-12T14:53:19 | null | Jupyter Notebook | false | false | .py | 2,019 | # ---
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#Import dependencies
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math
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/NationalFisheMonitor/extract_features.ipynb | 82dd6c54e27d1ef0c090b0642bc66e5335127ea8 | [] | no_license | ilaperony/DataScience | https://github.com/ilaperony/DataScience | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 33,225 | # ---
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import mxnet as mx
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# # Task 5: Analysis
# Plotly is useful plot geograph... | 1,986 |
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def n_for_gamer_i(i,sigma_gamers):
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# # store geostrophic fields
#
# Xiaolong initial [note... | 6,512 |
/Pandas String and Regular Expression/Check whether alpha numeric values present in a given column of a DataFrame.ipynb | 2537ea7046034193f011ac282aa6ed0f8baeda9b | [] | no_license | surajjain85/Python | https://github.com/surajjain85/Python | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,405 | # ---
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# # 作業 : (Kaggle)房價預測
# # [作業目標]
# - 試著模仿範例寫法, 在房價預測中... | 2,447 |
/How to Win a Data Science Competition: Learn from Top Kagglers/week01_MLExplainability-Exercise_ Advanced Uses of SHAP Values-Mindy.ipynb | e4c6bd1655d0295e3bf677e3ae8cb83f9a38fd7c | [] | no_license | renjmindy/advanced-machine-learning-coursera | https://github.com/renjmindy/advanced-machine-learning-coursera | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,862 | # ---
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# **[Machine Learning Explainability Home Page](https:... | 7,412 |
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# # Programación para la Bioinformática
# ## Módulo 2... | 8,942 |
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/.ipynb_checkpoints/WeatherPy-checkpoint.ipynb | cd77a8dbe5b6d3ac86457c4cc55efa88358a7b55 | [] | no_license | mrderekbutler/api-challenge | https://github.com/mrderekbutler/api-challenge | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 721,477 | # ---
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# <a href="https://colab... | 13,885 |
/Zygimantas/Analysis/.ipynb_checkpoints/2b-Analysis of data_take2 - 1 with scalling-checkpoint.ipynb | 32aa4eb94d0b976e972a718c797ceb74559cbe4d | [] | no_license | nikmagini/TransferMonitoring | https://github.com/nikmagini/TransferMonitoring | 0 | 2 | null | 2016-09-05T15:38:14 | 2016-08-05T14:42:16 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 1,924,633 | # ---
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# # Analysis of most promenant algorithm
#
... | 6,970 |
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from pandas_datareader import data,wb
import pandas_da... | 3,573 |
/lsa-and-sentiment-classification-in-python.ipynb | 568eab3b8587684199474f7b5290f03e9b142554 | [] | no_license | Branden-Kang/Natural-Language-Processing | https://github.com/Branden-Kang/Natural-Language-Processing | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,164 | # ---
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/agrupamento_dbscan/dbscan_kmeans_hierarquico.ipynb | 6a5bb457eff4a8bf4782135310e4d4f3622547fa | [] | no_license | johnnycosta86/project_sklearn | https://github.com/johnnycosta86/project_sklearn | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 188,967 | # ---
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/Finance/Naver/.ipynb_checkpoints/naverFS재무제표(년간)(분기추가) ver1.1-checkpoint.ipynb | 07d5a096b4f766c3db104da5ca929dd438910227 | [] | no_license | KimMyungSam/2ndBUS | https://github.com/KimMyungSam/2ndBUS | 2 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,301 | # ---
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/probability_distributions.ipynb | bfbcbb18e061646ba0cf6cfcb365fe6c9d4614bf | [] | no_license | paulallen825/python-exercises | https://github.com/paulallen825/python-exercises | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 28,519 | # ---
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import numpy as np
fro... | 4,761 |
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/Dollars to Rupees.ipynb | fb78a2c74f884d68f5f274d9d4fba7496c3e615c | [] | no_license | ZaranaGajjar/practical-python | https://github.com/ZaranaGajjar/practical-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 927 | # ---
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/04-pytorch基本操作-官网加优达练习/Part 4 - Fashion-MNIST Exercise.ipynb | 1bea8691fc9db3895cfef313665376326fed7f64 | [] | no_license | Parker-Lyu/Uda-ComputerVersion | https://github.com/Parker-Lyu/Uda-ComputerVersion | 0 | 2 | null | 2022-11-03T05:33:54 | 2019-09-15T14:38:28 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 10,217 | # ---
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# # Classifying Fashion-MNIST
#
# Now it's your turn t... | 5,683 |
/great_expectations/uncommitted/edit_checkpoint_yelp_checkpoint.ipynb | 0d9cca8e3019e741007428a056beccd110ab0ec0 | [] | no_license | ismaildawoodjee/Great-Expectations-for-JSON | https://github.com/ismaildawoodjee/Great-Expectations-for-JSON | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,851 | # ---
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# # Create Your Checkpoint
# Use this note... | 4,522 |
/src/example_reinforcement_learning.ipynb | e35cfc5dc2669aa17b624cc0fcbf80c9f94590b8 | [
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# # Signatures and RL
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# %run base.ipynb
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/DL_model.ipynb | 04cd7b95363e5c8fb4ad1035a7ef258113463e84 | [] | no_license | rajendra99999/customer_DL | https://github.com/rajendra99999/customer_DL | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 46,168 | # ---
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/1357/1357_python_jmj/1357.ipynb | 79c2229b42b579df563fa1be1bb998af6ab42773 | [] | no_license | umilove98/2021SummerStudy | https://github.com/umilove98/2021SummerStudy | 0 | 0 | null | 2021-07-08T09:36:34 | 2021-07-08T09:23:38 | null | Jupyter Notebook | false | false | .py | 1,121 | # ---
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# ## Importing Libraries
# +
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#Loading Blood donation data
import pandas as pd
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/.ipynb_checkpoints/Highlighted Features-checkpoint.ipynb | d5a82c518becb857f3b22fec2941b4f70d700c9a | [] | no_license | avaspataru/Analyze-CRISPR-Features | https://github.com/avaspataru/Analyze-CRISPR-Features | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 465,171 | # ---
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# # Setting up
import pickle
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/notebooks/Library of Plans.ipynb | 58514b146737903a5935920e5a7b23cda6b15e44 | [] | no_license | klauer/epics-docker | https://github.com/klauer/epics-docker | 0 | 0 | null | 2016-01-23T17:17:19 | 2015-12-08T15:08:18 | Makefile | Jupyter Notebook | false | false | .py | 9,405 | # ---
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# # Library of Plans
# +
from bluesky import RunEngin... | 4,169 |
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square = [value **2 for value in range(1,11)]
print(sq... | 6,791 |
/BIOE300_HM1_.ipynb | 875b24fedd8c48a8e0ecbc6d0c0de8c52f046110 | [] | no_license | luisdiaz1997/BioinformaticsExamples | https://github.com/luisdiaz1997/BioinformaticsExamples | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 318,417 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 17,466 |
/ProblemSets/PS4/PS4_Zhihan Yu.ipynb | acc910de2dab5f449f12937cb86d61a558b6747b | [] | no_license | jeffishy135/persp-model-econ_W19 | https://github.com/jeffishy135/persp-model-econ_W19 | 0 | 0 | null | 2019-01-10T22:22:29 | 2019-01-09T21:26:28 | null | Jupyter Notebook | false | false | .py | 108,991 | # ---
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# ## Automatisch Matrizen generieren
import numpy as ... | 227,395 |
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