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# # Revisiting Pandas - 1
# > This blog post is a... | _notebooks/2020-05-15-revisiting-pandas.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Tabular Playground Series - Oct 2021/other/lightgbm-feat-sel-shift.ipynb |
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# + [markdown] colab_type="text" id="p78j8... | assignment6/CAP5768_Assignment6_cgarbin.ipynb |
# -*- coding: utf-8 -*-
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# # RTBP Problem WorkPrec... | Juliacon 2020/.ipynb_checkpoints/RTBP-WorkPrecision-checkpoint.ipynb |
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import tensorflow as tf
import cv2
import os
import ma... | face_mask_detector.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # <... | ee046202_tutorial_11_expectation_maximization.ipynb |
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# <i>Copyright (c) Microsoft Corporation. All rights res... | scenarios/classification/10_image_annotation.ipynb |
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#importing library requirements
import os
from pat... | cancer_tech.ipynb |
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# https://github.com/crahan/ipyfilechooser
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# # !p... | examples/ipyfilechooser.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Exemple with vizualisation.ipynb |
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import sys, os, inspect, logging, importlib
impor... | Implementations/FY20/ACC_asia_railways/old_work/GNETS_ECA_DECAT_D_B__Mapping_GOSTNetsResults3.ipynb |
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# # Tutorial Guide:
# ### Installation:
# ##### Inst... | Tutorials/1_Tutorial-Installation Guide.ipynb |
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# # Explore GISAID data
#
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import os
i... | notebooks/explore-gisaid.ipynb |
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# # SimFin Tutorial 01 - The Basics
#
# [Original repo... | 01_Basics.ipynb |
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# # Writing an application: Identifying a coast line.
... | tutorials/nasa_apps_oct_2019/answers/4 - Real example.ipynb |
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# https://machinelearningmastery.com/naive-bayes-class... | bayes/BSTS_trials/Predictor_6.ipynb |
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impo... | WEEK 2/Exercise/Normal Equation.ipynb |
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# **_pySpark Basics: Merging and Joining Data_**
# _b... | a01_PySpark/e01_Resources/pyspark-tutorials/03_merging.ipynb |
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# ## RNN Time Series Classification
# ### Importing R... | RNN - binary and multiclass classification.ipynb |
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# name: conda-env-azureml_py3... | AppEase_Cloud/AppEaseML.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 18CSE023Assignment04.ipynb |
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# # Visual Search Using Variational Autoeconders
#
# In thi... | search/visual-search-vae.ipynb |
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# # Kaggle : Santander Product Recommendation
# - In t... | Santander-Product-Recommendation/Santander-Product-Recommendation.ipynb |
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import tensorflow as tf
import numpy as np
# Make... | lu-dl-course-examples/lecture-02--hello-world--tensorflow.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Random_Forest/independent_dataset/T2/T2_RF_Individual_data_set.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | O'Reilly_Class_Algotrading_Processing_Data.ipynb |
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# This example plots the ellipsoids obtained f... | _posts/scikit/bayesian-gaussian-mixture/Bayesian Gaussian Mixture.ipynb |
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# # Cost Functions
#
# Now we'll discuss cost function... | 05 - Cost Functions.ipynb |
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# ## Kaggle Challenge - Twitter Sentiment Analysis - B... | bag-of-words_model/Sentiment-Analysis-BagOfWords.ipynb |
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# # Temple University, CHEM 3405 - Physical Chemistry... | CHEM3405_Physical_Chemistry_Bio/First-Class.ipynb |
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# # Image Segmentation with Pre-trained Models
# We c... | Part_3_Segmentation.ipynb |
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import numpy as np, pandas as pd, celerite... | WISE/code/old/gaussian_process.ipynb |
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;; # Calchylus... | Test.ipynb |
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import os
import glob
import nltk
import seaborn as sn... | src/StatisticalTextAnalysis/original/.ipynb_checkpoints/Statistical-Text-Analysis-checkpoint.ipynb |
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df = pd.read_csv('/Cu... | Customer Segmentation.ipynb |
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# <img align="left" src="https://lever-client-logos.s3.amaz... | module2-convolutional-neural-networks/LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb |
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import torch
import torch.nn as nn
import tensorrt as ... | notebooks/tensorrt_tests.ipynb |
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from itertools import chain
from collections impor... | notebooks/regression_based_approach.ipynb |
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# <a href="https://colab... | Online_Retail_Transactions_EDA.ipynb |
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# To install, pip instal... | data_ETL_Code/2021_notebooks/youth_someMH_care2021.ipynb |
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# %matplotlib inline
#
# # Animated 3D random walk
#
... | matplotlib/gallery_jupyter/animation/random_walk.ipynb |
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# # COVID-19 Tracking by Geographic Distance
# ## Clus... | COVID-19 And K-Means Clustering.ipynb |
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# # [Day 2](http://adventofcode.com/2017/day/2)
#
# ##... | 02.ipynb |
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# ### Exhaustive search over specified pipeline estima... | notebooks/06_01_Logistic_SkLearn_GridSearchCV.ipynb |
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# # Using vtreat with Regression Problems
#
# <NAME> a... | Examples/Regression/Regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Visualization.ipynb |
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# # Supplemental M... | notebooks/05. Day 2 - Openml Extra.ipynb |
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# # CASE 1 - Coronary heart disease
#
# <NAME> <br>
# ... | case1/chd_analysis.ipynb |
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# # Izhikevich model tutorials:
# Targeted a... | Spike_generation_by_Izhikevich_Tutorials.ipynb |
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# # Notes
#
#
# ## Resources
# The [H... | solution/notes.ipynb |
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import pandas as pd
df = pd.read_csv("/home/qamaruddi... | section_0001/SEC001 VID006 Evaluate the Strategy Performance.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1... | test/test-leaf-specaugment.ipynb |
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# + [markdown] id="RH9mPMK4dnz2"
# # Unsupervised Machine Lerning - Clusterin... | LectureNotebooks/9_Unsupervised_Learning_Clustering.ipynb |
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# -*- coding: utf-8 -*-
"""
Created on Tue Ja... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# Making a basic graph
# import Bokeh... | 03. Bokeh Graphing - Small Demo/demo_jupyter/.ipynb_checkpoints/Basic Graphing-checkpoint.ipynb |
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import numpy as np
from sklearn.me... | Fatma_dataset/results/Twitter_sexism_results_analysis.ipynb |
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xl = "C:\\Users\\zachi\\Deskt... | .ipynb_checkpoints/main_function-checkpoint.ipynb |
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impo... | doc/sandbox/plot-d25-mag-ForPaper.ipynb |
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# ### a) Counter class:
from collections import Count... | Section 14 - Advanced Python Modules/Lec 104 - Py Collection Module.ipynb |
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# <a href="https://colab... | Fall_2021_Assignment_2.ipynb |
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# <h1>Table of Contents<span c... | Phase_3/ds-logistic_regression-kvo32-main/logistic_regression.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | advanced-topics/mutability.ipynb |
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# # JavaPresse: Critical Review Filtering
# Last Upda... | assets/books/cjcr/rg_cjcr_11_04_2020.ipynb |
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# + [markdown] id="lBOa9DlmbqGZ" colab_type="text"
# # Boot
# + id="LH8qQyyt... | notebook_examples/MacroSOStream_with_s1.ipynb |
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# # Non-Parametric Tests Part I
#
# Up until now, you'... | Experimental Design & Recommendations/Statistical Consideration in Testing/L2_Non-Parametric_Tests_Part_1_Solution.ipynb |
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# + [markdown] id="TfRdquslKbO3"
# # Load NumPy data i... | Load NumPy data in TF.ipynb |
# -*- coding: utf-8 -*-
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# # Mastering the grammar
#
# ## Introduction
#
... | Probability and Statistics/Statistics/R/Elegant Graphics for Data Analysis/Chap10_Mastering the grammar.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="kxtKkUsBlQzp" outputId=... | colab.ipynb |
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# ### Recommendation System
# In this project:
# ... | recommendation-system/recommendation_system.ipynb |
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# ## Computational Linguistics: Parts of Speech
#
# Fi... | Assingments/module05/students/module7_ir/labs/lab_02_parts_of_speech.ipynb |
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# # Hourly wind generation
# Looks like the column hea... | Raw Data/ERCOT/Hourly wind generation/Exploring hourly wind data.ipynb |
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#
# **Universidad de Costa Rica** | Escuela de I... | Py4.ipynb |
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# + tags=[]
using StaticArrays, ImageFiltering
# + tags=[]
using Plots,... | pooling.ipynb |
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# name: python38364bitironhackcondae22397c... | notebooks/5_matches_data.ipynb |
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# + [markdown] id="7UAz42LoF4hM"
# # Tensor Manipulation
# 1. Numpy
# PyTor... | Notebooks/lab03_pytorch_basics.ipynb |
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import scipy.stats as st
import numpy as np
import pan... | Lernphase/SW06/.ipynb_checkpoints/letzte chance-checkpoint.ipynb |
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# %pwd
FML=pd.read_csv... | FML-JapaneseVowels.ipynb |
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# # Clustering text documents using k-means
#
#
# Th... | Clustering text documents using k-means.ipynb |
# -*- coding: utf-8 -*-
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# # Ising Model with the M... | notebooks/.ipynb_checkpoints/ising-metropolis-checkpoint.ipynb |
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im... | notebooks/img2json.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | draw_graph001.ipynb |
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# # Assignment 1 | Machine, Data and Learning
# ## Que... | MDL-Assignment1.ipynb |
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# # Behavioral Cloning
#
# This notebook is for prepro... | CarND-Behavioral-Cloning-P3/behavioral_cloning.ipynb |
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# # Data selection using pyfesom2's xarray-accesor.
#
... | notebooks/accessor_selections.ipynb |
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# # 数学基本运算与运算符
# - 数学运算的常规分类是：
# 1. 基本运算：
# ... | 东南大学/D02机器学习与深度学习/Torch基础/02Tensor-06Tensor的数学运算.ipynb |
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# # Lesson 5: Lists
# **Teaching:** 10min<br>
# **Exer... | lessons/python_primer/5 - Lists.ipynb |
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import... | eda/10-yelp-clean-gps.ipynb |
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from libs import tpcpath
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simulator_name = 'nest'
import pyNN.nest as p
fr... | src/experimental_code/.ipynb_checkpoints/Izhikevich_reservoir_nest-checkpoint.ipynb |
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