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# # Customer Segmentation
#
# We will be u... | example_project/Cust_segmentation_online_retail.ipynb |
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# # 1. Description
# This notebook will produce the s... | 1_the_sepsis_group_and_non_sepsis_group.ipynb |
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# # Coding Exercises (Part 2)
# ## Full Data Workflow... | 04 - Data Analysis With Pandas/assignments/Exercise_10.ipynb |
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# analyze err... | tools/eval_example.ipynb |
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# ### *cis*- and *trans*-QTL mapping with tensorQTL
#
... | example/tensorqtl_examples.ipynb |
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# - research.baidu.com/Blog/index-view?id=89
# - www.r... | LearningCurves/power_law_lrn_crv.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | S5-Assignment Solution/EVA_S5_Exp4.ipynb |
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# # Lesson 6: Data Wrangling
#
# *Learn to prepare dat... | L06-Data_Wrangling-Lesson.ipynb |
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import os
# os.environ["CUDA_VISIBLE_DEVICES"]="0... | playground-Copy1.ipynb |
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import pandas as pd
import numpy as np
import matp... | da2.ipynb |
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from gurobipy import * # import the optimize solver G... | assets/python/Ex13[Bhutan]_s.ipynb |
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import numpy as np
import matplotlib
#matplotlib.... | useful_scripts/python_templates/plot_examples.ipynb |
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# # PMV Storm Surge Alert Feed Generator
#
# Notebook ... | Doug/StormSurgeAlertsFeedDaily.ipynb |
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import os
os.chdir('../')
import DeepPurpose.models a... | DEMO/CNN_Transformer_Kiba.ipynb |
# -*- coding: utf-8 -*-
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using DifferentialEquation... | examples/epicookbook/notebooks/SimpleDeterministicModels/SIRModel.ipynb |
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# Importing Libraries.
import pandas as pd
import... | .ipynb_checkpoints/Connecting to the AWS PostgreSQL Relational Database System_Blake's Demo-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | light_weight_roberta_base_scheduler.ipynb |
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# %matplotlib inline
#
#
# The :class:`~mne.io.Raw` d... | stable/_downloads/b7f6f07283b8cae86edea831b037ebca/plot_object_raw.ipynb |
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l = [1,2,3]
l
l.append(4)
l
def name_function():
'''
... | Code/1.Basics/3.Methods&functions/1.methods.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | NLP_Plagiarism.ipynb |
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import numpy as np
import pandas as pd
# machine ... | Porto Seguro/Logistic Regression.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | using multi_steps.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "3da6999a-399e-415a-89e2-7fc157f5357e", "showTitle": false, "ti... | tutorials/Certification_Trainings/Public/databricks_notebooks/2.6/3.SparkNLP_Pretrained_Models_v2.6.3.ipynb |
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from __future__ import print_function,division,absolut... | ASL_DNN.ipynb |
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# # Riduzione della dimensionalità
#
# Fino ad ora abb... | 3.machine learning/7-PCA_LDA_NMF.ipynb |
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# Dependencies and Setup
import pandas as pd
impo... | notebooks/nationwide.ipynb |
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import tensorflow as tf
#Generate the filename qu... | 6/convolution.ipynb |
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#import libraries
#numerical
import pandas as pd
i... | .ipynb_checkpoints/NYC_EDA-checkpoint.ipynb |
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# name: python379jvsc74a57bd01d1365bc7bea9ca53bbaaff2a498c5cc1... | unemployment.ipynb |
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import sys,os
data_path = os.getcwd()
try:
i... | notebooks/examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://... | uci-heart-disease/r-example-heart-disease.ipynb |
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# ## Dependencies and starter code
# +
# Dependencies... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# #### Parameter File Overview:
# Parameter files can ... | examples/Parameters loading.ipynb |
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def warn(*args, **kwargs):
pass
import warning... | notebooks/datasets.ipynb |
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# + [markdown] id="mz0_QVkxCrX3"
# # **Homework 1: COVID-19 Cases Prediction ... | HW1/0_87857.ipynb |
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | YahooFinance/YahooFinance_Get_USDEUR_data_and_chart.ipynb |
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# default_exp text.utils
# default_cls_lvl 3
# -
... | nbs/01_text-utils.ipynb |
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# Copyright (c) 2017-2019 [Serpent-Tools developer tea... | examples/Detector.ipynb |
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# + [markdown] _uuid="748e245881e9a26d54da4c9431786b3f... | automaticFeatureEngineering/Feature Selection.ipynb |
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# <a href="https://colab... | Dataset_Analysis_with_pandas_library.ipynb |
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# + _uuid="d629ff2d2480ee46fbb7e2d37f6b5fab8052498a" _... | digit-recognizer-easy-99-acc.ipynb |
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import numpy as np
import scipy.signal as signal
# %ma... | Simulations/Old_Stuff/LimiterDriver.ipynb |
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# # Kneip 2008
#
# * <NAME>., & <NAME>. (2008). Combin... | notebooks/Kneip_2008.ipynb |
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import os
import sys
from pathlib import Path
sys.get... | introduction/Recursion.ipynb |
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# + deletable=false editable=false nbgrader={"grade": ... | S04 - Text Classification/BLU07 - Feature Extraction/Exercise notebook.ipynb |
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# + [markdown] deletable=true editable=true
# ### Play... | notebooks/playground.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | 2course week1/.ipynb_checkpoints/main-checkpoint.ipynb |
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import pandas as pd
from sklearn.svm impor... | Models/Random Forest.ipynb |
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# # Guided Project 1
# **Learning Objectives:**
#
# *... | immersion/guided_projects/guided_project_1.ipynb |
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# %matplotlib inline
import numpy as ... | bose_hubbard_basis_ponomarev_no_truncation/testing/test_python_bose_basis_ponomarev_20211215.ipynb |
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### Required
#### 1. **Use Etherscan Python SDK**... | section1/task3/task3_required.ipynb |
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# + [markdown] slideshow={"slide_type": "n... | Lectures/Lecture-11/11-WrapUpQBI.ipynb |
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import numpy as np
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# %load_ext autoreload
# %autoreload 2
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# # How to constrain stellar parameters...
#
# Things ... | StellarParams TBD.ipynb |
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# # Policy-Gradients with the REINFORCE algorithm
#
# ... | Reinforcement-Learning/RL-codes/REINFORCE_exercise.ipynb |
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# # Modelo del rendimiento de una cuenta de ahorro
#
#... | Modulo3/Clase13_ModeloAhorro.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | application_model_zoo/Example - Nexet Dataset Vehicle Detection.ipynb |
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# # Simulación de una avenida con paso peatonal
# En e... | simple_avenue_model.ipynb |
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# ## MNIST Classifier for all digits
#hide
from utils... | nbs/MNIST_Classifier.ipynb |
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# # Image Cropping
#
# This script will load the sampl... | photos/Image_Cropping.ipynb |
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# run ipython with this command: jupyter notebook ... | keras-CNN/Keras_CNN_7_Emotions.ipynb |
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import tweepy
import pandas as pd
import time
import j... | crawler.ipynb |
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# # TF-IDF
#
# The TF-IDF formula makes it possible to... | Content/5.TFIDF/1.tfidf.ipynb |
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# %matplotlib inline
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# + [markdown] id="pUWcg1yf5SS7" colab_type="text"
# # Colab utils
#
# This r... | index.ipynb |
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from core import *
from core_mps import *
from quantum... | 04 MPS Fourier methods.ipynb |
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# #### Exceptions
try:
file = open('nonExistDir/t... | py_Exceptions.ipynb |
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import pandas as pd
from datetime import datetime
# +... | .ipynb_checkpoints/NHL Elo-checkpoint.ipynb |
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# Gaussian discriminant analysis in 2d
# Author: <NAME>, heavily modified by <NAME>
# Based on matlab code by Kevin Murphy
# https://github.com/probml/pmtk3/blob/master/demos/discrimAnalysisDboundariesDemo.m
import numpy as np
import matplotlib.pyplot as plt
import os
figdir = "figures"
def savefig(fname):
... | notebooks/book1/09/discrim_analysis_dboundaries_plot2.ipynb |
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# **Note**: There are multiple ways to solve these pro... | quiz/Quiz0_Solutions.ipynb |
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# # Estimate car price - Apply saved model
# #### <NAM... | Python-API/usecase-examples/estimate-car-price/30 Apply saved model.ipynb |
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# # What if we just restart considering a nonblended
... | PythonCodes/[SSC]Sigmoid/20210317-Tilting_Nonblended.ipynb |
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# <img src="NotebookAddons/DEVELOP_logo1.jpg"... | SAR_Training/English/Ecosystems/Exercise7-InundationMappingfromSARTimeSeries-Example.ipynb |
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from pint import UnitRegistry
ureg ... | code/soln/test_deg2rad.ipynb |
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import requests
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from pyspark import Sp... | Create_Graphs.ipynb |
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# + [markdown] id="HFQsXwLUNHLc" colab_type="text"
# UNIVARIATE DATASET:
#
#
... | Gradient_Descent_(Univariate).ipynb |
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# default_exp labrie2008
# -
# # LaBrie et al 200... | 32_labrie2008.ipynb |
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# # Parameter Management
#
# The ultimate goal of training deep networks is to find good parameter values for a given architecture. When every... | 5 deep-learning-computation/parameters.ipynb |
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#
# What is PyTorch?
# =========... | Deep-learning-framework/pytorch/pytorch-handbook/chapter1/tensor_tutorial.ipynb |
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# # PyLadies and local Python User Groups
#
# _Last up... | Meetup Stats.ipynb |
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impor... | notebooks/High_Mratios_map.ipynb |
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# #Print Formatting
# In this lecture we will briefly ... | notebooks/Complete-Python-Bootcamp-master/Print Formatting.ipynb |
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/ + cell_id="f146784c-0402-4ef4-b2fd-40bfe27860ec" deepnote_cell_type="code" deepnote_to_be_reexecuted=false execution_millis=931 execution_sta... | experiments/DeepGBM-wandb/embedding-wandb.ipynb |
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# + [markdown] id="tT6lcgsxsYzT"
# # Autoencoder RecSys Models on ML-1m
# + ... | _notebooks/2022-01-13-ae-ml.ipynb |
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# -*- coding: utf-8 -*-
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# Problem Statement - Food Nutrition
#
# Intro to Pyth... | M1 Python For Data Science/Week_2_Python_For_Data_Science_NumPy_Pandas/Food_Nutrition_Solution.ipynb |
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# # Assignment 4
#
# Before working on this assignment... | Assignment4.ipynb |
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# # Beautiful Charts
# **Inhalt:** Etwas Chart-Format... | 12 Pandas Teil 4/Beautiful Charts L.ipynb |
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# ## Explore Random Graphs Using NetworkX
# In this e... | notebooks/1 - IPython Notebook Examples/IPython Project Examples/Interactive Widgets/Exploring Graphs.ipynb |
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#
# Creating Extensions Using nu... | docs/_downloads/52d4aaa33601a2b3990ace6aa45546ce/numpy_extensions_tutorial.ipynb |
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print("Hello and welcome to Awesome Jobs.")
print(... | Recruiting Chatbot - Overview/Recruiting Chatbot - Overview.ipynb |
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# # ConvNet in Keras
# #### for MNIST Digit Classific... | demos-for-talks/Keras_MNIST_ConvNet.ipynb |
# -*- coding: utf-8 -*-
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# # Process Mining Module... | r/lecture2-discovery.ipynb |
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# # Arrays
# Dask array provides a parallel, larger-t... | 02_high-perf/99_array.ipynb |