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import numpy as np
import panda... | Regularisation/regularization_aprroach.ipynb |
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import sklearn
import pandas as pd
import numpy a... | 05. The Titanic Dataset.ipynb |
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# + id="uiaQXkVfYr_F"
import numpy as np
import cv2
import pandas as pd
impor... | ImageColorization/VideoColorizationAlpha.ipynb |
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import pandas as pd
from sklearn.model_selection impor... | Supervised/Classification/NaiveBayes/Naive_Bayes_Classifier.ipynb |
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# ### POLISCI 88 FA 21
# ### Lab #: The role of self-... | lab/leveck/.ipynb_checkpoints/leveck_student-checkpoint.ipynb |
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# !wget https://resources.lendingclub.com/LoanStats_20... | Resources/Generator/GenerateData.ipynb |
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# # Lomb-Scargle Example Dataset
# ## The Data
#
... | figures/LINEAR_Example.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | 1 MyPractice/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/07-Operations.ipynb |
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# # Averaging Blur
import cv2
from matplotlib import ... | ImageSmoothing/Averaging_smoothing.ipynb |
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# # ... | English/8. Recursion.ipynb |
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# # Futures
#
# Try out a moving average crossover str... | examples/futures-forex-crypto/futures.ipynb |
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# + [markdown] deletable=true editable=true
# * [Excer... | ch05.ipynb |
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# ## Q1. What is the percentage of Male Players in the... | Data Analysis Assignment/Winter Olympics Analysis - Assignment.ipynb |
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// ## Gaussian Op
// +
//load ImageJ
/... | notebooks/1-Using-ImageJ/Ops/filter/gauss.ipynb |
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# <img src="images/usm.jpg" width="480" height="240" a... | labs/C2_machine_learning/02_analisis_supervisado_regresion/laboratorio_07.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/04_Kaggle_Analysis_4.ipynb |
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from pyvista import examples
import pyvista as pv
impo... | python/tlbm/stl_utils/Foot_bones.ipynb |
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# ![Impressions](https://PixelServer20190423114238.... | how-to-use-azureml/track-and-monitor-experiments/logging-api/logging-api.ipynb |
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# # Data Preparation
# +
# Load the "autoreload" exte... | notebooks/0.0-BB-CLIMATE-DATA-2017-12-04.ipynb |
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import pandas as pd
from pathlib impor... | notebooks/FastAI_Model.ipynb |
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# # Piecewise Affine Transforms
import numpy as np
fr... | menpo/Transforms/Piecewise_Affine.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + colab={"base_uri": "https://localhost:8080/", "hei... | brain_tumor_segmentation.ipynb |
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import pandas as pd
import os
import matplotlib.pyplot... | Energy_sandbox.ipynb |
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import pandas as pd
from scipy.io import loadmat
impor... | SVM.ipynb |
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# # SKLEARN PIEPLINES
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# Materials prepared, or c... | MachineLearning_code_examples/Sklearn_pipelines.ipynb |
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# <img src="http://hilpisch.com/tpq_logo.png" alt="The... | code/ch05/05_pandas.ipynb |
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# + init_cell=true
# %matplotlib inline
# %load_ext im... | source/ConstraintProgramming.ipynb |
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# # MNIST Example for MLP with momentum and batchnorm
... | demo.ipynb |
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# # EventVestor: Earnings Calendar
#
# In this noteboo... | docs/memo/notebooks/data/eventvestor.earnings_calendar/notebook.ipynb |
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# # THIRD PROJECT
# ## Exploring the USA's milk impor... | Funmilayo Aina WT-21-091/Week 5 Assessment/PROJECT_2.ipynb |
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# 
#
# # Predicting ... | Retail Spending/notebooks/Automated Retail Spending.ipynb |
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# # Refactor: Wine Quality Analysis
# In this exercise... | Software Engineering Practices Part I/refactor_wine_quality.ipynb |
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from BurstCube.bcSim import simFiles
sfs = simFiles('... | lepalmer/plotData/f_test_energy/Aeff vs. Energy Plot.ipynb |
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# # 1.5 Command Line Interface (CLI)
#
# The following... | notebooks/signac_105_Command_Line_Interface.ipynb |
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# ## Visualisation of many initial condition for 3d OD... | Lorenz_system.ipynb |
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# + [markdown] id="McvjJuNeZNxh"
# # Train a Cats-vs-d... | Convolutional-Image-Recognition.ipynb |
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import numpy
import matplotlib.pyplot
# %matpl... | 02-plots-and-subplots.ipynb |
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# # Ensembl genes table extraction EDA
#
#... | ensembl_genes/notebooks/ensembl_genes_eda.ipynb |
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# + [markdown] colab_type="text" id="CazISR8X_HUG"
# #... | Foundations_of_strategic_business_analytics/Week_2/Factors_leading_to_events__recitals/linear_regression/multiple_linear_regression.ipynb |
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import sys
sys.path.append('../python_packages_static/... | notebooks_workflow_complete/3.1_prepare_for_iES_reweight_objective_function.ipynb |
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# + slideshow={"slide_type": "skip"} tags=["hide_input... | python/projects/loans/loans.ipynb |
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# # Facies classification using Convolutional ... | StoDIG/Facies_classification_StoDIG_4.ipynb |
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# %matplotlib inline
#
# # Layer Images
#
#
# Layer i... | matplotlib/gallery_jupyter/images_contours_and_fields/layer_images.ipynb |
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from scipy.optimize import minimize
import numpy as np... | Code/.ipynb_checkpoints/FFT analysis-old-checkpoint.ipynb |
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# ## This script gets the statisctical informaiton abo... | analysis/1_statistical_info.ipynb |
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# # CS4487 - Tutorial 1: Introduction to Jupyter and P... | tutorial-1/Tutorial1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# ## Preprocess the dataset and creating class labels ... | 1-pre_processing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | colablend.ipynb |
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# # TP Optimisation II: A simple neural network
#
# ... | 2A/S8/UE Apprentissage Machine et optimisation/Optimisation 2/TP3/.ipynb_checkpoints/MNIST-checkpoint.ipynb |
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# ## Customer Segmentation and Cohort Analysis
import... | Customer Segmentation in Python 3.ipynb |
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# + pycharm={"name": "#%% #0: Importing libraries\n", ... | hw1/others/mle-test.ipynb |
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# # Unsupervised Learning
#
# In contrast to everythin... | notebooks/26_clustering.ipynb |
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# + [markdown] colab_type="text" id="hLEyhfMqmnrt"
# #... | cloud_tpu_colabs/JAX_demo.ipynb |
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# %config Completer.use_jedi = False
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from scipy.io import wavfile
import pandas a... | Test.ipynb |
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from splinter import Browser
from bs4 import Beautiful... | Mars_Scraping/practice_scraping.ipynb |
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# ## Simulating any compartmental model using the `Spp... | examples/deterministic/ex02-Spp.ipynb |
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# # Sentiment Analysis with an RNN
#
# In this noteboo... | sentiment-rnn/Sentiment_RNN.ipynb |
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# +
from typing import List
class Solution:
d... | Hash Table/0118/957. Prison Cells After N Days.ipynb |
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# + [markdown] deletable=true editable=true
# # seleni... | python/selenium ( install chrome driver with mac ).ipynb |
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# # numpy & numexpr
# Load the required modules.
imp... | Python/Numpy/numexpr.ipynb |
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# + [markdown] id="aHlV836QxSf8"
# # Handwritting Recognition
# + [markdown]... | Handwritten_Digit_Classification.ipynb |
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# ## Installing requirements
# ! export PATH='$PATH:/... | Full_Lip_region_original_data.ipynb |
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nb = [17, 1, 3, 16, 19, 0]
def compute(nb, n):
... | day_15/Day 15 - Rambunctious Recitation.ipynb |
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# # Naive Bayes Spam Classifier
#
# Naive Bayes class... | notebooks/naive_bayes/0001-Model-BUILD-Naive-Bayes-Spam-Classification.ipynb |
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# name: python38364bitpy383conda2309aa976eb54... | appyters/Enrichr_Canvas_Appyter/Enrichr-Canvas-Appyter.ipynb |
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# ## Study session 10 - data analysis
# ### BIOINF 575... | study_sessions/study_session10_data_analysis_solution1.ipynb |
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import os
os.chdir('..... | ZebraKet/Alex test files/fix-classical-solutions.ipynb |
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# + [markdown] colab_type="text" id="wJcYs_ERTnnI"
# ##### Copyright 2018 The... | site/ru/guide/migration_guide.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | add-function.ipynb |
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# HIDDEN
from datascience import *
import matplotlib
p... | notebooks/08/1/Applying_a_Function_to_a_Column.ipynb |
# -*- coding: utf-8 -*-
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# # Einlesen der Daten
# Schau Dir zunächst die ... | simple-r-read-csv-file-example.ipynb |
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# + id="BX4onq55l8KK" colab={"base_uri": "https://localhost:8080/", "height":... | ipynb/P2.ipynb |
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# + [markdown] button=false new_sheet=fals... | docs/beta/notebooks/GeneratorGrammarFuzzer.ipynb |
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# # Figure. peQTN TSS Distances and Ciona Experiments... | notebooks/Figure. peQTN TSS Distances and Ciona Experiments.ipynb |
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from sklearn.cluster import MeanShift, estimate_ba... | notebooks/180426 - Oahu MiniBatch.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module5/Module5 - Lab3.ipynb |
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# # Epidemiological models: Introduction
#
# This tuto... | tutorial/source/epi_intro.ipynb |
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import pandas as pd
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# + id="eVD2FatpQopm" colab_type="code" colab={}
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# + id=... | dummy_variables_dynamic_code.ipynb |
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# # Bit serial computation - Multiplicatio... | notebooks/bit-serial/bit-serial-multiplication.ipynb |
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# # Things to do to improve performance.
#
# So the fi... | 2018-08-10_AV_Innoplexus/07. Submission 02 - Test Token Extraction.ipynb |
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# # Dependencies
# +
# Initial imports
import pandas... | Unsupervised_ML.ipynb |
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import os
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# -
# The ... | checks/ids/unify_ids_checks_and_notes.ipynb |
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import pydsm
... | examples/nbcalibplots/sample_calib_postpro.ipynb |
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import matplotlib.pyplot as plt
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... | matplotlib/lofar-benchmark.ipynb |
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# + [markdown] colab_type="text" id="Ma19Ks2CTDbZ"
# ##### Copyright 2018 The... | tf_agents/colabs/2_environments_tutorial.ipynb |
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# # TextAttack End-to-End
#
# This tutorial provides a... | docs/examples/0_End_to_End.ipynb |
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# + pycharm={"is_executing": true}
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... | 2-3.ipynb |
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# -*- coding: utf-8 -*-
# segmentation.py
# this f... | notebooks/segmentation_notebook.ipynb |
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# + [markdown] id="rVLSo4TR0aQU"
# # CIS 519 Homework ... | Homework2/hw2-materials/hw2.ipynb |
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import matplotlib.pyplot as ... | draw_fig.ipynb |
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# # What is the probability that an email be spam?
# R... | Ham_Spam.ipynb |