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# # Programming with Python
#
# ## Episode 1 - Introdu... | lessons/python/ep1-introduction.ipynb |
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# ## Introduction: How can you use leaf indexes from a... | catboost/tutorials/leaf_indexes_calculation/leaf_indexes_calculation_tutorial.ipynb |
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# + id="7bU3Tqu6XiSM"
import pandas as pd
import numpy as np
from keras.model... | Reference/DecisionTree.ipynb |
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# # Nuclei Detect demo
#
# This note... | parsing/old_scripts/.ipynb_checkpoints/whole_folder-checkpoint.ipynb |
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# + outputHidden=f... | notebook experiments/contour.ipynb |
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# ## Well
#
# Some preliminaries...
import numpy as np
imp... | tutorial/Well.ipynb |
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# + pycharm={"is_executing": false, "name": "#%%\n"}
i... | notebooks/1.2_AV_construct_binary_feature.ipynb |
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | LinkedIn/LinkedIn_Send_likes_from_post_to_gsheet.ipynb |
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# # Simple Classifier / Logistic Regression
# This no... | exercise_04/.ipynb_checkpoints/2_logistic_regression-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | _notebooks/2022-03-07-dacon_hands.ipynb |
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# # Time dependent tensile response
# %matplotlib w... | bmcs_beam/tension/time_dependent_cracking.ipynb |
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# + [markdown] colab_type="text" id="Sblxia5TgLd3"
# #... | Trainer-Collaboratories/Fine_Tuning/InceptionV3/Fine_tuning_InceptionV3(GAP_128_0,5).ipynb |
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# ### Policy Evaluation & Iteration on a GridWorld exa... | Dynamic Programming/Dynamic-Programming-methods .ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | notebooks/Analytic Theories/Konig Penny Model.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Python Assignments/Programming_Assignment_1.ipynb |
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# <h1><center>Udemy Courses Analysis<center>
# <cente... | Udemy_Courses_Analysis_Baybay1.ipynb |
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import json
import string
import numpy as np
from... | NLP/Chatbot/chatbot_main_no_attention.ipynb |
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# # Jupyter Notebooks介绍
#
# ## 前言
#   &ens... | Jupyter/Xupsh-jupyter_notebooks-Introduction.ipynb |
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# <a href="https://colab... | Análise_de_Dados_em_Python_Aula_03.ipynb |
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# # Neural Network Classifier
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# # Imports
# +... | code/03_Modeling_NN.ipynb |
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# <a href="https://colab... | 6_OtherOperators.ipynb |
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# ### Machine Learning for Engineers: [StochasticGradi... | All_Source_Code/StochasticGradientDescent/StochasticGradientDescent.ipynb |
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# # `clean_country()`: Clean and validate c... | docs/source/user_guide/clean/clean_country.ipynb |
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# # SIkR and SEkIkR Models
#
# In order to model the d... | examples/deterministic/ex06b-SIkR-and-SEkIkR.ipynb |
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# ## Training Amazon SageMaker mode... | sagemaker-python-sdk/dgl_gcn/pytorch_gcn.ipynb |
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# <h1> OpenSees Examples Manual Examples for OpenSeesP... | BraineryBytes_OpenSees_Examples_Manual_Example_1a_Elastic_Cantilever_Column_Pushover.ipynb |
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# Importing standard Qiskit lib... | REPA_NEQR_1.ipynb |
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# # Getting started on jupyter.nersc.gov
# Lets f... | Dec2020/galaxies/fitting_redshifts.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lesson 4 - Tabular Data.ipynb |
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# **Chapter 6 – Decision Trees**
# _This notebook con... | 06_decision_trees.ipynb |
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# #### **Title**: Bars Element
#
# **Dependencies**: Bokeh
#
# **Backends**: [Bokeh](./Bars.ipynb), [Matplotlib](../matplotlib/Bars.ipynb), [P... | examples/reference/elements/bokeh/Bars.ipynb |
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# pvfactors: Jupyter notebook guide
# =====... | docs/tutorials/pvfactors_demo.ipynb |
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# Monte Carlo integration
# =======================
#
... | 10_01_montecarlo_integration.ipynb |
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# ## Quantitative QC by CV calculation
# The data used... | Quantitative_QC.ipynb |
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# _Lambda School Data Science_
# # XGBoost examples
... | module3-permutation-boosting/BONUS_xgboost_missing_values_monotonic_constraints.ipynb |
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import pandas as pd
import numpy as np
import matp... | Feature Cleaning and First Models.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 20202/dm_20202_0601_overfitting.ipynb |
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# # Extract Time Series Data
#
# With this notebook th... | Feature_Extraction/Time_Series/Extract_Time_Series_Data.ipynb |
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@nom... | week8_ML_lr_knn_encoder/day1_ci-cd_decorators/theory/python/decorators.ipynb |
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# # Convolutional Neural Network Example
#
# Build a c... | More-DL/pure_Tensorflow_2.0/tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network_raw.ipynb |
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# ## First Assignment
# #### 1) Apply the appropriate... | Assignments/Assignment_1.ipynb |
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# # Let's kill off `Runner`
# +
# %load_ext autoreloa... | nbs/dl2/09b_learner.ipynb |
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# <img src="../../../img/logo-bdc.png" align="right" w... | jupyter/Python/wtss/wtss-examples.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-getting-started.ipynb |
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# # Liner Regression Model Tutorial
#
# ***
#
# ## Int... | python/python-data-science/machine-learning/simple-linear-regression/Linear Regression Model.ipynb |
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# # [NTDS'19] assignment 1: network science
# [ntds'19... | assignments/.ipynb_checkpoints/1_network_science-checkpoint.ipynb |
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# # Aligning MRS voxels with the anatomy
#
# Several s... | ipynb/003-aligning-with-anatomy.ipynb |
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import numpy, scipy, matplotlib.pyplot as plt, librosa... | feature_sonification.ipynb |
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# # Microestructura y Sistemas de Trading
# ## Notas de Administracion ... | Notas_R/Notas_AdminActiva/Notas_AdministracionActiva.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | 4_7_assoc_operon_to_conds.ipynb |
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import nltk
nltk.download_shell()
messages=[line.str... | nlp.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/.ipynb_checkpoints/lampseq-checkpoint.ipynb |
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import pandas as pd
#name columns
giss = pd.read_csv('... | SLR Equation.ipynb |
# -*- coding: utf-8 -*-
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# # Outlier Detection
# (anom... | misc/outliers.ipynb |
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# ## Edge effect jitter in BLS which leads to addition... | tutorials/08 Edge effect jitter correction.ipynb |
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from copy import deepcopy
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# # k-Nearest Neighbor (kNN) exercise
#
# *Complete an... | assignment1/.ipynb_checkpoints/knn-checkpoint.ipynb |
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# # Demo notebook
# We can also create parts of our J... | content/demo.ipynb |
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# # Name
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############## PLEASE RUN THIS CELL FIRST! #######... | session2/session2.ipynb |
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# Read the dataset
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# + [markdown] id="Ea9Dg91MUTCS"
# **CS3753-Data Science Project by <NAME>**
... | Titanic-Analysis.ipynb |
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# + id="h0Rz-yvlfNLs" colab_type="code" colab={"base_uri": "https://localhost... | day4_XGBoost.ipynb |
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# %load_ext autoreload
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# de... | 01_data.ipynb |
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# # a2 - Python Basics
# Fill in the below code cells ... | exercise-3/python-basics.ipynb |
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# + [markdown] slideshow={"slide_type": "notes"}
# [![... | examples/2_Rejection_ABC_closer_look.ipynb |
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% matplotlib inline
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# #INFO
# experiments that can take place :
... | rumor.ipynb |
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import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
#... | Vincent_Emma_DS_Unit_1_Sprint_Challenge_2_Data_Wrangling_and_Storytelling.ipynb |
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# # Doing Geospatial in Python
#
# Version... | workshop/jupyter/content/notebooks/01-introduction.ipynb |
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#导入使用的库
import numpy as np;from math i... | chap2/program_2.6.1/program_2.6.1.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="r--_QUPHVc_S" outputId=... | GWS_DATA_GENERATION_Classification.ipynb |
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# # Stroke prediction
# ## P2: EDA
# + pycharm={"is_e... | P2.ipynb |
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import pickle
filen... | evaluation/ACL 2019 - self_BLEU.ipynb |
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# ## Self Organizing Map (SOM)
# Realizaremos un ejerc... | datasets/Part_4_Self_Organizing_Maps_SOM/som.ipynb |
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# # Segment Real Time Data + Personalize
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# In this module you ar... | workshop/1-Personalization/1.2-Real-Time-Events-Segment.ipynb |
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# # Using PyMC3
# In this assignment, we will learn h... | Bayesian Methods for Machine Learning/Week4/Week4. Practical Assignment. MCMC.ipynb |
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# # DiscreteDP Example: Bioeconomic Model
# ** <N... | quanteconomics/ddp_ex_MF_7_6_6_jl.ipynb |
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# # Day 2: I Was Told There Would Be No Math
# The el... | 2015/Day02/Day2.ipynb |
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# # RWET Programming Exercise B: Lists and list operat... | programming-exercise-b.ipynb |
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# # Naturalcolors tutorial
import numpy as np
import ... | tutorial/naturalcolors_tutorial.ipynb |
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# # Apartado 6 - Import
# - Import modulos
# - Abrir ... | others/resources/python/precurse_python/6_import/6_import.ipynb |
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#import Turtle, random, numpy
import ##Fill
# Se... | Python_Class/.ipynb_checkpoints/Space_war Frame-checkpoint.ipynb |
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# + papermill={"duration": 0.110831, "... | notebooks/contributions/AIREO_pilot_dataset_-_SpaceNet7.ipynb |
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# htt... | Python_Stock/Technical_Indicators/Heiken_Ashi.ipynb |
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// --... | notebooks/Front End Web Security/Handling Access and Refresh Tokens using Axios Interceptors.ipynb |
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# + [markdown] id="NSv6p5YZ5PUh"
# #Step-1: Import the packages & Dataset
# ... | _notebooks/2020-02-25-Inventory-Classification-in-3-Steps.ipynb |
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import json
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# Real World Tutorial 1: Translating Poetry
# ========... | doc/source/poetry_tutorial.ipynb |
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# # Episode 18: Parsing with PyParsing
#
#... | ohop/Episode18.ipynb |
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# ls \
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# ここで、量子線形システム問題にまつわる少し発展的な話題を紹介する。これらのコラムの内容は本編の理解に必須... | notebooks/7.3c_quantum_inspired_algorithm.ipynb |
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# The first section only have exploratory trials...
#... | get_IOT_data.ipynb |