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import emc... | figures/Figure8.ipynb |
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# # Relation between CPU Cycles and Data Transmission ... | analysis/notebooks/visualization_nserv.ipynb |
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# Student Answer -> Bert encoding\
# Question -> BERT encod... | model.ipynb |
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# + id="SQHnALYxJkx1" colab_type="code" colab={"base_uri": "https://localhost... | day1_just_a_start.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="NDlpJsZ1nOpe" outputId=... | Codes/[Analysis]03_์๊ณ์ด๋ถ์.ipynb |
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# # Assignment 2 | Programming Logic
#
# R... | assignments/assignment_2/assignment_2_Jane_Luke.ipynb |
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# # Dealing cards - flush generation
# An interesting... | Dealing cards - flush generation.ipynb |
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from clifford.g3_1 import *
# Metric
print(e1*e1)
pri... | examples/g3_1.ipynb |
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# ### In this notebook we investigatw the ... | Nets on Augmented Images/02_Image_Total_VGG_pretrianed_VGG11-Aug.ipynb |
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# %matp... | SVM_SEED/score_test.ipynb |
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#
#
# ## Intro
#
# 
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import pandas as pd
import numpy as np
imp... | .ipynb_checkpoints/statistics notebook-checkpoint.ipynb |
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# # Building a Module
#
# A module in Python is concep... | Investment Management/Course1/.ipynb_checkpoints/lab_104-checkpoint.ipynb |
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# # 1. Import Libraries
import pandas as ... | anomaly-detection-algorithm/code/EDA.ipynb |
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# %load_ext autoreload
# %autoreload 2
# ... | cnn_experiments/docs/demo_human_or_worm/create_datasets.ipynb |
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import os
import sys
import itertools
import math
... | Toppings/masky.ipynb |
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# <img src="images/logo.jpg" style="display: block; ma... | week7/3_Classes_Part_2.ipynb |
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# # Direct Marketing with Amazon SageMaker ... | hyperparameter_tuning/xgboost_direct_marketing/hpo_xgboost_direct_marketing_sagemaker_APIs.ipynb |
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# ## Deep Learning and Probabilistic Models
#
# The ob... | 12. Non supervised learning II.ipynb |
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# + id="VvlGJHkA8QGt" colab_type="code" colab={"base_uri": "https://localhost... | XGBoost_and_fatures.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Unidade4-Manipulacao-de-Dados/Coleta-de-Dados/Exercicio_API_IPCA.ipynb |
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# # Modeling Dynamical Systems
#
# For instructions on... | tutorials/dynamical_systems.ipynb |
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import matplotlib.pyplot as plt
plt.style.use('classic... | Lecture Notebooks/Econ126_Class_03.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="xJLZjx_IHSwA"
# <div align="center">
#
# # Quantum Co... | assets/qcnn_drc_tutorial.ipynb |
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# + deletable=false editable=false
# Initialize OK
fro... | hwk/hw1/hw1.ipynb |
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# + [markdown] id="bYYGJvqP-Csl"
# # Identifying trans... | docs/source/tutorials/3-science-examples/exoplanets-identifying-transiting-planet-signals.ipynb |
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# ### Run the cell below by clicking on it and pressin... | 1D/.ipynb_checkpoints/Bandstructure-1D-checkpoint.ipynb |
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import tohu
from tohu.generators import BaseGenerator
... | playground/2018-08-29__Fresh_CustomGenerator_implementation.ipynb |
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# Listas no Python
#
#criando litas
listademercado=['... | listas/Listas_no_Python.ipynb |
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# # multi-task alternate training strategy--clearence ... | paper/00_OutoftheBox_Metablism_LMCL/01_comparison_multitask.ipynb |
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# # Iteration
# Our other aspect of contr... | module01_introduction_to_python/01_09_iteration.ipynb |
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# # 31. ๋ด์ค๊ธฐ์ฌ ํฌ๋กค๋ง ๋ฐ ๋ถ๋ฅ
#
# **๋ด์ค๊ธฐ์ฌ๋ฅผ ... | FUNDAMENTALS/Node_31/[F-31] Only_LMS_Code_Blocks.ipynb |
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# Mapping RNAseq reads with Salmon
# Input:
# * transc... | multi_to_single_fast5_mapped_ids/.ipynb_checkpoints/Ben_RNAseq_expression_mapping-checkpoint.ipynb |
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import numpy as np
import pandas as pd
fro... | src-dev/scratch.ipynb |
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# # Measuring the speed of sound
# For this lab we use... | speed-of-sound/speed of sound.ipynb |
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# numpy and pandas for data manipulation
import nu... | notebooks/homecdt_eda/.ipynb_checkpoints/My_test2-checkpoint.ipynb |
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# # EDIT DISTANCE
# **Problema:** date due stringhe $a... | pandas/edit_distance.ipynb |
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from gurobipy import * # import the optimize solver G... | assets/python/Ex5[Nintendo]_s.ipynb |
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# ## SOLVING PLANNING PROBLEMS
# ----
# ### GRAPHPLAN
... | planning_graphPlan.ipynb |
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import pandas as pd
import numpy as np
bank_data = p... | outlier-lab/BoxPlot.ipynb |
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# ## connecting to kicktipp.de/wolter via selenium
# ... | notebooks/2.0-bw-enter-weekly-bets-via-selenium.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | elmo_with_imdb.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | StringDataType.ipynb |
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# ## Data Acqusition
# +
# Import librari... | Deep Learning/Customer Segmentation.ipynb |
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# # Notebook 2 - NumPy
# [NumPy](http://numpy.org) sho... | python-data-2-numpy.ipynb |
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# # Detecting Pneumonia using Convolutional Neural Net... | model/01 EDA.ipynb |
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# ## MXNet (with Gluon) ใไฝฟใฃใๅญฆ็ฟใจๆจ่ซใ Sage... | supported_frameworks/mxnet_gluon_mnist/mnist_with_gluon.ipynb |
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import numpy as np
con_mat=np.load('/media/maria/DATA... | SpectralDrosophila.ipynb |
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import pandas as pd
import numpy ... | projects/Soccer-Watchability/Football-watchability-modeling-clean.ipynb |
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# # Automating administrative workflows
from arcgis.g... | talks/uc2017/ArcGIS Python API - Introduction to Scripting Your Web GIS/notebooks/automating_admin_workflows.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 3.5-classifying-movie-reviews.ipynb |
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# # Plot scalars on a line plot
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# + dc={"key": "3"} run_control={"frozen": true} edita... | notebook.ipynb |
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import numpy as np
from PIL import Image
# T... | SuperMarioLevelGenerator/SMLevelGenerator.ipynb |
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# <a href="https://colab... | GradientDescentExample.ipynb |
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# #### Finding the Best Markets to Advertise In
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... | 12. Intermediate Statistics/Python_Statistics_MarketAnalytics.ipynb |
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import rospy
from sensor_msgs.msg import Image
fro... | ArUco Markers.ipynb |
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import numpy as np
import panda... | Code/course_code_along/section_4_oversampling/random_oversampling.ipynb |
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data_name = "data.csv"
data = pd... | demo/rpy2_tutorial.ipynb |
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from collections import defaultdict
from functools... | mzML.ipynb |
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# ## Intermediate Spreadsheets
#
# - 4 hours
# - 12 Vi... | intermediate_spreadsheets/summary.ipynb |
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# ## Variance Estimation
# In statistics we know tha... | blog/unbiased_variance_estimator.ipynb |
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# # S... | nbplain/10_scipy.ipynb |
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import os, glob, json
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import p... | notebooks/04_neural_network.ipynb |
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# # Data visualization
#
# Python data visualiza... | modules/06-visualizing-data/lecture.ipynb |
# + [markdown] colab_type="text" id="view-in-github"
# [View in Colaboratory](https://colab.research.google.com/github/getmrinal/ML-Notebook/blob/master/19.%20PCA/LFW_Images.ipynb)
# + colab={} colab_type="code" id="Daaa_4AjPuvT"
from sklearn import datasets
import matplotlib.pyplot as plt
from sklearn.decomposition i... | 19. PCA/LFW_Images.ipynb |
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# # Data Engineering Caps... | capstone-i94-etl-pipeline/Capstone_Project_Final.ipynb |
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% + magic_args="Machine Learning Online Class - Exercise 1... | ex1-octave/.ipynb_checkpoints/ex1-checkpoint.ipynb |
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import ... | code/dilate_hippocampus.ipynb |
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# <a href="https://colab... | Day_6_Anagram_Groups.ipynb |
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# + [markdown] tags=["pdf-title"]
# # Generative Adver... | Assignment_03/Generative_Adversarial_Networks_PyTorch.ipynb |
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# <a href="https://www.kaggle.com/rsizem2/tps-10-21-te... | kaggle/tps-10-21-tensorflow-decision-forests-benchmarks.ipynb |
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import numpy as np
# #%matplotlib ... | HW11/.ipynb_checkpoints/Q3-checkpoint.ipynb |
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# import warnings filter
from warnings import simplefi... | 003 - Machine Learing/.ipynb_checkpoints/Sthocastic_Descendent_Gradient_Diabetes-checkpoint.ipynb |
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# # Example: Credit Card Default
#
# We have seem this... | Week_5_Default_Lab_AA.ipynb |
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# # **QUANTUM... | 3. Single Qubit Gates/d. Interesting Relations .ipynb |
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# # Live Updating and Interactive Plots
#
# ## 1 Plott... | notebook/Unit2-7-Live_Interact_Plot.ipynb |
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using JuMP, DelimitedFiles, Cbc, Plots
pyplot()
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# # **Titanic competition**
# ## 1. Importing package... | kaggle/Titanic/titanic.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# (emp... | session2_python_and_programming/slides_session2.ipynb |
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# Course Human-Centered Data Science ([HCDS](https://w... | A3_Wikipedia_ORES_Bias.ipynb |
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import os
os.environ... | Tutorial_CPP.ipynb |
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# # Pandas - Missing Data
import numpy as np
import p... | python-datasci-bootcamp/03-Python-for-Data-Analysis-Pandas/t_missing_data_pandas.ipynb |
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# ### Import/Load... | 3. Distributed Deep Learning with TensorFlow and Google ML Engine/2. dive into estimators/tensorflow_estimators.ipynb |
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# %load_ext autoreload
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import sqlite3
import pandas as pd
conn = sqlite3.... | ETL2/Notebooks/.ipynb_checkpoints/SQL excersice-checkpoint.ipynb |
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# https://colab.research.google.com/github/kassboh... | ipynb/TM_A/TM_3/lie.ipynb |
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# + [markdown] id="LmSNbYh44rN2" colab_type="text"
# ***Import Required Libra... | KNN.ipynb |
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#importing the modules
import os
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dir_contents = o... | .ipynb_checkpoints/main-checkpoint.ipynb |
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from IPython.core.display import SVG
SVG(filename='sv... | electronic/theory/voltage_divider.ipynb |
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# # High-dimensional Bayesian Optimization of CrabNet ... | benchmarks/matbench_v0.1_Ax_SAASBO_CrabNet_v1.2.7/notebook.ipynb |
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# # Using Python to Debunk COVID Myths: โDeath Statist... | notebooks/drafts/Using Python to Debunk COVID Myths Death Statistic Inflation-checkpoint.ipynb |
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# +
## import modules
import pandas as pd
import re
#... | mini_book/_build/.jupyter_cache/executed/10fd5320e9b250ac7f57494fd68c1ed8/base.ipynb |
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# # Funzioni 1 - introduzione
#
# ## [Scarica zip eser... | functions/functions1-sol.ipynb |
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# # Homework 3 -- Problem 1
# %matplotlib notebook
#... | SIO-211A/hw/Homework3_1.ipynb |
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# # Project for predicting prices of a one room apartm... | Cian data analisys.ipynb |