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# # How to use Quandl with Python for Data Analysis
#... | Quandl for DataVigo.ipynb |
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# # Not completed.
import json
impo... | Development Indicators Project/python notebooks/AR_GDP_Growth.ipynb |
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# # 0 - Setup Notebook Pod
# ## 0.1 - Run in Jupyter ... | jupyter/example_notebooks/.ipynb_checkpoints/spark_example_v0.2.1-checkpoint.ipynb |
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# %%
imp... | main_deep_staple.ipynb |
# -*- coding: utf-8 -*-
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# # Referências
# - Prin... | 1 - Dados.ipynb |
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import numpy as np
import pandas as pd
import pickle
f... | .ipynb_checkpoints/cluster-checkpoint.ipynb |
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# %matplotlib inline
import datacube
dc = datacube.Da... | examples/notebooks/TestIpython.ipynb |
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# # Creating Financial Industry Word Dictionary
train... | past-team-code/Fall2018Team2/Sentiment Analysis/Old Iterations/WordDictionary.ipynb |
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# layout: post
# title: "Bitcoin Futures Arbitrage Part 4"
# categories:
# - Bitcoin Futures Series
# tags:
# - bitcoin
# - futures
# - perpetual future
# - deribit
# - python
# - arbitrage
# - data science
# - investments
# - monte carlo simulation
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# text_represen... | _notebooks/2019-05-24-bitcoin-futures-arbitrage-part-4.ipynb |
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# + [markdown] id="3d979c7f"
# First we do... | train_toy_example.ipynb |
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# # Mathematical model parameter fitting : a data scie... | .ipynb_checkpoints/Insights Health Data Science Analysis Review-checkpoint.ipynb |
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# # Working with Numba
# This notebooks provides some... | Numba and C++/Working with Numba.ipynb |
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# + [markdown] id="Ic4_occAAiAT"
# ##### Copyright 201... | src/Basic_knowledge/.ipynb_checkpoints/keras_text_classification-checkpoint.ipynb |
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# load MDAnalysis library
# to deal with GRO/XTC ... | examples/visualize_datasets.ipynb |
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# # Python Cheat Sheet
#
# Basic cheatsheet for Python... | jupyter_notebooks/10_Manipulating_Strings.ipynb |
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# + [markdown] delitable=false
# # Lab 2 (Part C) - Li... | Labs/Lab2_Regression/Lab 2 (Part C) - Linear regression with multiple features.ipynb |
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# #!/usr/bin/env python3
import pandas as pd
impo... | training_testing_FINAL.ipynb |
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# # Training at scale with AI Platform Training Servic... | courses/machine_learning/deepdive2/building_production_ml_systems/solutions/1_training_at_scale.ipynb |
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# %matplotlib inline
from dolfin import *
from msh... | Nematic/SingleCylbadmesh.ipynb |
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# # Get started
#
# <a href="https://mybinder.org/v2/g... | examples/get_started.ipynb |
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import px4tools
import pandas
import pylab as pl
# %ma... | 15-10-01 jgoppert retune.ipynb |
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# # Image classification - transfer lea... | 40_AWS_SageMaker/transfer_learning/01-Image-classification-transfer-learning-cifar10.ipynb |
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# # Computational Assignment 1
# **Assigned Monday, ... | comp_assignment-1.ipynb |
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# Installation of dyno should refer to https://dynverse.org... | scripts/simulation_trajectory_analysis.ipynb |
# # Testing model acurracy
# +
import pandas
import matplotlib.pyplot
import numpy
# do ploting inline instead of in a separate window
# %matplotlib inline
#
df = pandas.read_csv("./data/pima-data.csv")
df.shape
# -
# ## Splitting the data
# 70/30 - train/test
# +
from sklearn.model_selection import train_test_s... | 05.pima-predictions.training-performance.ipynb |
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# # ASTU Assignment
#
# ## BY-
# ### <NAME>- (17031000... | Assignment 1 on pca/ASTU_assignment_on_pca.ipynb |
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# usage: from Portfolio.dataframes import *
# -
f... | notebooks/.ipynb_checkpoints/dataframes-checkpoint.ipynb |
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# # Edge detection
#
# <img align="right... | geoapps/edge_detection/notebook.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy a... | examples/example_tmd.ipynb |
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# # Principal Component Regression (PCR)
#
# This note... | ml/Dimensionality Reduction Algorithms/Principal_Component_Regression(PCR)/Principal_Component_Regression(PCR).ipynb |
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# # Linear Discriminant Analysis (LDA) [50 pts]
# In t... | ps5/pset5_lda.ipynb |
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# ## Coopetition - Muon id classification
#
# <NAME... | model_muon.ipynb |
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# # Lab 04 : VGG architecture - exercise
# For Google... | codes/labs_lecture08/lab04_vgg/vgg_exercise.ipynb |
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import networkx as nx
import matplotlib.pyplot as plt
... | examples/ppi/ppi_graph.ipynb |
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# For a molecule in **solution**, the free energy of r... | data-release-2020-05-10/Harmonic aside.ipynb |
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# *Accompanying code examples of the book "Introductio... | code/model_zoo/pytorch_ipynb/resnet-ex-1.ipynb |
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# # LeetCode
#
# ## Link
#
# 1. https://leetcode.com/
... | AATCC/lab-report/w3/practice-leetcode-labs-w3.ipynb |
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# !pip install pyapacheatlas
from Authenticate_to_Pur... | AMLNotebooks/02_Create_CreditRisk_AML_Pipeline_Lineage.ipynb |
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# ## Step 1: Import required libraries and packages
#... | 00_Ntbk_PuneBusRoutes_DataCollection,Processing,Cleaning.ipynb |
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from carel import Carel
from carelgrid import CarelGri... | home_task_4.ipynb |
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# ## VENRON-Electricity Dataset preprocessing for Fond... | src/preprocess.ipynb |
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# # part1: tensorflow
#
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import tensorflow as tf
... | gpu_test.ipynb |
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import os
import pandas as pd
import numpy as np
... | notebook/archive/Prepare training dataset.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] azdata_cell_guid="a49ad7c3-e68e-... | samples/manage/sql-assessment-api/notebooks/SQLAssessmentAPIQuickStartNotebook.ipynb |
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from thesis_initialise import *
# +
def testfunc(a, ... | dev/dev_019_hierarchy.ipynb |
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import csv
def get_domains(examples):
d = [se... | Program 2 - Candidate Elim/.ipynb_checkpoints/pgm2_long-checkpoint.ipynb |
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import pandas as pd
import cloudpickle as pickle
f... | src/main/python/ipystate/benchmarks/walker_benchmark.ipynb |
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# # Remote Query Examples
# This notebook demonstrate... | examples/RemoteQuery_Example.ipynb |
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// ### Getting started with SystemML ... | Intro_Apache_SystemML.ipynb |
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from pyEOF import *
import xarray as xr
import num... | docs/notebooks/basic_usage.ipynb |
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import load_raw... | movement_endpoints.ipynb |
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# + [markdown] id="t9LpcoF-ATDz"
# # Yahoo Text Classification: ULMFiT vs BER... | Yahoo!_Answers.ipynb |
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# # Exercise: Many electron tunnelling systems
# Havi... | 05_tunneling/tunneling.ipynb |
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import pandas as pd
import matplotl... | messgoingpreiction.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotl... | reproduce_figs/imagenet_fig3,s1,s2.ipynb |
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import pandas as pd
import datetime as dt
music_0603 ... | notebooks/music_growth.ipynb |
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import sys # for automation and parallelisation
manual... | notebooks/prep21_access_egress_road.ipynb |
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# # Power Spectrum Estimation
#
# This noteboo... | PSD.ipynb |
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# ## 定义卷积神经网络（CNN）
#
# 查看正在使用的数据之后，了解图像与关键点的形状，接下来，就可以... | 2. Define the Network Architecture-zh.ipynb |
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# ## Making a static map of tephra fall on buildings
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# # DNA Assemblies, gene expression, transcription, an... | examples/3. DNA Assemblies, gene expression, transcription, and translation.ipynb |
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import pandas as pd
pd.set_option('max_rows', 7)
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# + id="HMS4M6WQTOox" colab_type="code" colab={} executionInfo={"status": "ok... | model/model25/doodle2.ipynb |
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# # Maximising classification accuracy via Ensemble We... | optimize_cifar100.ipynb |
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# # Getting data from web archives using Memento
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# <... | memento.ipynb |
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# default_exp modeling.core
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# all_slow
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#h... | nbs/01_modeling-core.ipynb |
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import numpy as np
s = 1
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out_rows =... | problem-shapes/conv_backprop.ipynb |
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import matplotl... | regression/Regression - E-commerce.csv - 28 Mar 18 - Jeremy Crawford.ipynb |
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# pip install pandas
# pip install PyQt5
# pip ... | notebooks/to_check/viz_fishscale.ipynb |
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# # Intorduction
# ## What is in this notebook?
# ## Inputs
# The following are the inputs which the model needs to run, please select one ... | develop/2019-04-25-mh-titanic.ipynb |
# -*- coding: utf-8 -*-
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# # Manifold
#
# **Manifold** is a tool for model-agno... | manifold-demo/Manifold demo.ipynb |
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# # Bayesian HMM Model
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# This notebook illustrate ho... | examples/HMM_align.ipynb |
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# # DL Indaba Practical 4
# # Gated Recurrent Models (GRUs and LSTMs)
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# **Introduction**
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# <script async src="https://www.googletagmanager.com/... | IllinoisGRMHD/doc/Tutorial-IllinoisGRMHD__reconstruct_set_of_prims_PPM.ipynb |
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# # Evaluación de modelos, métricas de puntuación y ma... | talleres_inov_docente/3-03-metricas_rendimiento_evaluacion_modelos.ipynb |
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# # ORF307 Precept 8
# # Duality motivation example
#... | precepts/08_precept/08_precept.ipynb |
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i... | Python/Basics/py_R3/.ipynb_checkpoints/Untitled5-checkpoint.ipynb |
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# The collaborative filter approach focuses on finding... | Collaborative Filtering Model with TensorFlow.ipynb |
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# # Predicting Product Success When Review ... | introduction_to_applying_machine_learning/video_game_sales/video-game-sales-xgboost.ipynb |
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fr... | box_office/notebooks/new_model.ipynb |
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im... | notebooks/Community_report_bimodal.ipynb |
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# **This notebook is an exercise in the [Intermediate ... | Intermediate-Machine-Learning/exercise6-xgboost.ipynb |
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# # SSP-AHP based sustainability assessment
# This man... | SSP-AHP Manual.ipynb |
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# # Regularization
#
# ## Ridge
#
# Add notes from missed class.
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# + [markdown] id="view-in-github" colab_type="text"
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# %matplotlib inline
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# # Blockmodel
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#
# Example o... | NoSQL/NetworkX/plot_blockmodel.ipynb |
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Q1... | 2007/2007 Charges Merge.ipynb |
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# # How to implement a Proactive Chat widget
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# # Conditional non-linear systems of equations
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# # Recreating k-sys Realtime R0 analysis
# #### This ... | notebooks/00_DataPrep.ipynb |