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# importing all required libraries
import panda... | All_regression_comaprision.ipynb |
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import numpy
import matplotlib.pyplot
# %matpl... | 02-plots-and-subplots.ipynb |
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import pandas as pd
print(f"Pandas Version: {pd.__vers... | k-Means_Parallelized_GABR_IBRAHIM.ipynb |
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# # Week 1 - Quantum Tools
#
# * Python and Pip
# * ... | community/awards/teach_me_quantum_2018/TeachMeQ/Week_1-Quantum_Tools/README.ipynb |
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# # Geometry
# using the RealGeometry class
# +
impor... | src/notebooks/Geometry.ipynb |
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import numpy as np
import pandas as pd
from glob impor... | Plots/find_acc.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# %%time
"""
Creates a corpus from Wikipedia dump file.
Inspired by:
https://github.com/panyang/W... | notebooks/nlwiki_to_text.ipynb |
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# name: python394jvsc74a57bd063fd5069d213b44bf678585dea6b12cceca9941eaf7f819626cde1f2670d... | May21/lists/listsdemoextended.ipynb |
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# Convolutional Dictionary Learning
# =================================
#
# This example demonstrates the use of [dictlrn.cbpdndl.ConvBPDNDict... | cdl/cbpdndl_video.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pytorch3_NLP_Basic/Colab Output.ipynb |
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# # Labeling: Excess Return Over Median
#
# ![image_ex... | jupyter-notebooks/hudson-and-thames-quant/Labelling/Labels Excess Over Median/excess_over_median.ipynb |
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# # Reference
#
# This example is taken from the book ... | samples/12-one-hot-encoding-of-words-or-characters.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Movie_Recommender_System.ipynb |
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# + [markdown] id="MJtspJSwiosZ"
# ## Connecting Your PostgreSQL to a SQL Tab... | PosgreSQL_Products_mailingList.ipynb |
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# + [markdown] id="6aqlk87D8Gwx" colab_type="text"
# ## 1. Outliers percentil... | Notebook/notebooks/FeatureEngineering.ipynb |
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# # Clustering
# ## Gaussian Mixture Models
#
# ### h... | clustering/.ipynb_checkpoints/GMM-checkpoint.ipynb |
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import pandas as pd
import numpy as np
# import sklear... | notebooks/code/Bonus - Decission Trees - Intro.ipynb |
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# !python mainpro_CK+.py --model=Resnet18
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#验证模型正确... | ck+_resnet.ipynb |
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# ## Predicting Survival on the Titanic
#
# ### History
# ... | section-04-research-and-development/titanic-assignment/03-titanic-survival-pipeline-assignment.ipynb |
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import json
from datetime import datetime, timedel... | notebooks/.ipynb_checkpoints/Analysis of the traces-checkpoint.ipynb |
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AoI_csv_dir = 'input/aoi_ids.csv'
label_csv_dir = 'inp... | classify.ipynb |
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# # Pet Adoption Speed - Classification
# +
# import ... | Pet Adoption.ipynb |
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# + [markdown] id="2djxYuulyWv3" colab_type="text"
# <NAME>, <NAME>, <NAME>
... | Google_Analytics_Customer_Revenue_Prediction.ipynb |
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# # PCA & Clustering
#
# The goal of this code is to i... | napeca_post/event_related_clustering.ipynb |
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# %matplotlib inline
import numpy as np
import matplotlib... | CellSegmentation.ipynb |
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# name: python37764bitlearningcondadead39b8b5cb441aa05edba06d4... | Lecture 11/EDA.ipynb |
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import tensorflow as tf
import matplotlib.pyplot ... | [Dacon] 2009-smiles/Untitled.ipynb |
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# ## Monte Carlo - Forecasting Stock Prices - Pa... | Python for Finance - Code Files/103 Monte Carlo - Predicting Stock Prices - Part I/Online Financial Data (APIs)/Python 2 APIs/MC Predicting Stock Prices - Part I - Exercise_Morn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | permutasyon.ipynb |
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# # CSV Database Shortener
# By <NAME> @ Coma Science ... | csg_datafusion_shortendb.ipynb |
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import numpy as np
import sys
from functools import p... | jupyter/synthetic/synthetic_abrupt_variance.ipynb |
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# # Data Description
# As mentioned, we c... | main_data.ipynb |
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# name: python37464bitprogramdatav... | Classification/Quick Analysis/Quick Catboost Model for Analysis.ipynb |
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# ## Preface
#
#
# We need some particular versions o... | diet_problem.ipynb |
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# ## Custom Tutorial 3: Using your model
#
# In this t... | custom_tutorials/Custom_Tutorial3_parameter_inference.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
... | .ipynb_checkpoints/SVM_classifier-checkpoint.ipynb |
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# + [markdown] id="WxiNIYTnzCdw" colab_type="text"
# # [The Impact of Smartph... | smartphones-impact/Smartphones_Impact.ipynb |
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# # Oxford-iiit-pet (tensorflow)
# > !pip install git... | notebooks/tf_oxford-iiit.ipynb |
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import safenet
safenet.setup_logger(file_level=safenet... | crappyChat_reloaded_commandLine.ipynb |
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import os
path='splash'
tilenames=os.listdir(path)
til... | SplashFilter.ipynb |
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# Python for Bioinformatics
# ---------------------... | notebooks/Chapter 6 - Code Modularizing.ipynb |
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# # 3. Dimensionality Reduction - PCA
# It can be ver... | CNS/tutorial_questions/Code_Data/PCA_tutorial_questions.ipynb |
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# https://leetcode.com/problems/valid-parentheses/subm... | tanmay/leetcode/valid-parentheses.ipynb |
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# # Flexible RCMES Workflow
#
# * Typical Steps:
# ... | ocw-parallel/notebooks/Flexible RCMES Workflow.ipynb |
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# # Author : Sahil
#
# # Task 1 : Prediction using Sup... | Task 1 Supervised Learning.ipynb |
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# 참고문헌 : Pytel 외 저, 이주성 외 역, 재료역학, 2판, 한티미디어, 2013.<br... | utils/tests/sample.ipynb |
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# <img src="../../img/logo-bdc.png" align="right" widt... | Python/stac/stac-introduction.ipynb |
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# # Concept Drift - Deployer
# ... | concept_drift/concept_drift.ipynb |
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# # Deep convolutional neural networks
#
# In the pre... | chapter04_convolutional-neural-networks/deep-cnns-alexnet.ipynb |
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#Notebook to create results tables, regression of ... | notebooks/read_results.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Midterm_Exam.ipynb |
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# + id="tC_ulOVlqCY4"
# Use of libraries
import pandas as pd
import numpy as ... | Airline_price _.ipynb |
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# Import the usual libraries
import numpy as np
im... | notebooks/GTO/NRC_GTO_YSO_PDS70.ipynb |
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# ## loading Data
from PIL import Image
path2content=... | chapters/Chapter08/Chapter8.ipynb |
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# # Initial Data Exploration
#
# Here I'll do some st... | exploratory/01_jp_firststeps.ipynb |
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# ## Getting the data
#
# In this exercise, we work with a data set from... | 2019/istanbul/material/Quantitative analysis.ipynb |
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x_data=torch.Tensor([... | p/getd/Linear_reg.ipynb |
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# # Hierarchical clustering with 2D toy datasets
# # ... | homeworks/D058/Day_058_hierarchical_clustering.ipynb |
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import json
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# + id="BuQnCySLKLpU" colab_type="code" colab={}
# + id="MIKsolwIVSu4" cola... | day5.ipynb |
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# # <center> Summer Load </center>
import os
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# https://mail.google.com/mail/u/0/#inbox/QgrcJHrn... | notebooks/drosophila2/1.0-load-drosophila-compute-mi-shuffled.ipynb |
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# + id="nobzk-U4Dmfi" colab_type="code" colab={}
## <NAME> (<EMAIL>)
## June,... | lstm_sentiment_analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 3_1_EDA&Univariate.ipynb |
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# # Improving Variational Quantum Optimization using C... | docs/tutorials/08_cvar_optimization.ipynb |
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import numpy as np
import pandas as pd
races = pd.rea... | notebooks/clean_data.ipynb |
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# #%%appyter init
from appyter import magic
ma... | appyters/RNAseq_Data_Metadata_Analysis/RNAseq_Data_Metadata_Analysis.ipynb |
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import torch
import torch.nn as nn
from torch.nn ... | MLR model/Final Prediction/.ipynb_checkpoints/MLR final prediction - Copy-checkpoint.ipynb |
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# # Asymptotic solutions in short-times
# Projectile ... | src/asymptotic-short.ipynb |
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import pandas as pd
import numpy as np
import ... | practical_ai/02_keras/keras_classification.ipynb |
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# # Repeating Actions with Loops
# In the last lesson... | 03-fundamentals-of-python/02-repeating-actions_instructor.ipynb |
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# # 词嵌入
# 下面我们看看 pytorch 中如何调用词向量
# ## PyTorch 实现
# 词... | 06.循环神经网络（进阶）/nlp/word-embedding.ipynb |
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# + pycharm={"name": "#%... | best_practices_tf_keras.ipynb |
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# # Supplementary - check leakage
#
# In this suppleme... | files/research/lc/modeling_leakage.ipynb |
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# #Intro into IPython notebooks
# %pylab inline
from... | howto/00-intro_ipython.ipynb |
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# ## Images are not shown in notebook intentionally
#
... | Document scanner/.ipynb_checkpoints/Scanner_practice and notes-checkpoint.ipynb |
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# #!/usr/local/lib/python3.9
#Libraries
# #%conda... | CourseProject/SurveyDataAnalysis.ipynb |
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# ## Question 4
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def isUpper_Or_isLower(letter):
... | Exercise(06_05_2021).ipynb |
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# # Pré-processamento de dados e validação
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# Oi pess... | Aula4/Pré-processamento e validação.ipynb |
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# # Querying a data frame
#vamos começar com um exemp... | Querying a data frame.ipynb |
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# # Exercise: A Small Example for Linear Regression wi... | II.ML-and-DM/II.ML-DM-Simple-Regression.ipynb |
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# # Assignment 4
import pandas as pd
import numpy as ... | 18CSE010-Assignment 4.ipynb |
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# # Econmic Model... | Paul_coffee/00_3_Econ_model_3features.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module2/Patrick_Wolf_assignment_kaggle_challenge_2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/bp_greg_graph.ipynb |
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import pandas as pd
import numpy as np
from sklearn.na... | Test Files/Untitled1.ipynb |
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# Dados dos números, el primero ‘a’ y el segundo ‘b’, ... | 01_algebra/modulo_I_comceptos_basicos/ejercicios/ejercicios06.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | demo_starting_python_E&P_1hour.ipynb |
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import numpy as np
import pandas as pd
import os
impor... | coingecko_api_bot_analytics/Coingecko Analytics.ipynb |
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# ## Importation
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import pandas as pd
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from PIL import Image
import glob
from... | main_notebooks_old/main_dataset_preparation.ipynb |
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# ### Atlas Scientific pH
# pH Sensor for measuring ... | notebooks/atlas_pH.ipynb |
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# # Python Lab: Week 3
#
# This week we are going to l... | Labs/wk3/lab_wk3.ipynb |
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# ## Demo of Astronomical Interactive Data Analysis Te... | aas229_workshop/Tutorial_Notebooks/ginga_ipython_demo.ipynb |
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# # Transitivity
# ## Set up modules, variables, func... | workflow/notebooks/old_pipeline/verb_dataset/transitivity.ipynb |
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# Tutorial 4: Dealing With Failure
# =================... | howtolens/chapter_2_lens_modeling/tutorial_4_dealing_with_failure.ipynb |
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# ## Here, you will bring together everything you have... | Skill Tracks/Data Manipulation with Python/Course 2 - Manipulating DataFrames with pandas/Chapter 5 - Case Study - Summer Olympics.ipynb |
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from pathlib import Path
import numpy as np
from ... | notebooks/exercises/Keras_CharRNN_TextGeneration.ipynb |