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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Libraries # + import pandas as pd import numpy a...
lyapunov_exponents/lyapunov_exponents.ipynb
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4.2 - Bringing a Gun to a Guard Fight.ipynb
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files/Python Programming - Intermediate.ipynb
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notebooks/tensorflow/nn-training.ipynb
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ProjectMain.ipynb
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11-3D_Reconstruction_and_SfM.ipynb
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examples/obsolete/demo_imas.ipynb
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automl.ipynb
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sobolev/examples/plot_extragradient.ipynb
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00_data_dl.ipynb
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archive/twitter_timestamp_data_convertion_and_cleaning.ipynb
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ml/sampling/sampling.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Problem with K-Means # - Can fail sometimes on co...
ml_repo/10. K-Means and Color Extraction/K-Means and DBSCAN.ipynb
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Modulo_Spark/Exercicios_Spark/schemas.ipynb
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sem08_pandas/sem08_201.ipynb
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avaps/src/example.ipynb
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Python/Legendre-Conjecture.ipynb
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examples/reference/panes/Video.ipynb
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test_notebook_bike_analysis.ipynb
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Chapter02/Exercise21/Exercise21.ipynb
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Psi_SteadyStates_ThetaBVP_solver_SYM.ipynb
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word2vec.ipynb
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training_data/Negative_List_StarterCode.ipynb
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Python/shock_population.ipynb
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examples/EMSRb-MR_example.ipynb
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binarynet/Train__BinaryNet.ipynb
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PrepareData_EC.ipynb
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examples/sensitivity_analysis/sensitivity_analysis_part1.ipynb
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Wong-Project.ipynb
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notebooks/Creating Datasets in R.ipynb
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Neural_Nets_Project_Starter_Code.ipynb
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test/news files to bigquery with newsids.ipynb
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train_efficientdet.ipynb
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03_train_model-base.ipynb
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example_notebooks/14_pytorch_ssd/Data_Conversion - COCO Type to VOC Type.ipynb
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computer_science/ml-docs/nlp/text_classification/wine_review/01_Classify_Using_Naive_Bayes_and_SVM.ipynb
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julia_tutorials/krylov/solving-large-linear-odes.ipynb
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Webscrapping_in_datascience.ipynb
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development_notebook/.ipynb_checkpoints/aws_taxi_test-checkpoint.ipynb
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notebooks/09_Smoke-Basin.ipynb
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answers/Worksheet 2.2 - Exploratory Data Analysis - Answers.ipynb
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Train a Neural Network.ipynb
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4tareasSA.ipynb
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examples/3_updating.ipynb
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notebooks/binaries.ipynb
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projects/dist_aa_phospho.ipynb
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test-deep-sort.ipynb
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courses/machine_learning/deepdive/05_artandscience/labs/d_customestimator.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # ## Event-Driven Ingestion and Processing...
in-class-activities/06_Ingest_Process/6M_event_driven/event_driven.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Week 8 - Advanced Machine Learning # ## Reinforce...
Wk09-Advanced-ML-tasks-Reinforcement-Learning.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # A Quick Introduction to Optuna # # This Jupyter no...
examples/quickstart.ipynb
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notebooks/molecule_tutorial.ipynb
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Example1.ipynb
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_notebooks/2020-03-12-I-Am-Exponential-Distributions-and-So-Can-You.ipynb
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digits_reco/fnn.ipynb
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script/python file 2.ipynb
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Code/task01/my_linear_regression_pytorch.ipynb
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Pytorch/Practices/3_Linear_Classification.ipynb
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HelloGithub.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.5.1 # language: julia # name: julia-1.5 # --- # # Plot for figure 2: gen...
Notebooks/CorrelationVsDistance.ipynb
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in-class/pandas-1.ipynb
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08-ParseUserAgent.ipynb
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docs/notebooks/using_the_agent_class.ipynb
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04-homework/02 - Dark Sky API (Weather).ipynb
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.ipynb_checkpoints/law of large numbers-checkpoint.ipynb
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Algorithm/3_LinearAndBinarySearch.ipynb
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rnn_transfer_XOR_colab.ipynb
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.ipynb_checkpoints/OpSeF_IV_Reimport_002-checkpoint.ipynb
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EDA_Violence_in_lyrics.ipynb
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paper/F03. Exposure Distribution.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # We need to first get a better understanding of our a...
audio-pytorch/2-understanding-audio-data.ipynb
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Forecasting/HT 7_Zakharov.ipynb
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mnist/BayesClassifier-GMM.ipynb
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states_ue.ipynb
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supported_frameworks/keras_tensorflow/keras_tensorflow_mnist.ipynb
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pilot_trips/many_unimodal_trips_southbay.ipynb
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_00_Generic-CSharp-Research_misc/_00_C#Notebooks/_02_Primitive-Data-Types.ipynb
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nbs/index.ipynb
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Udemy - Python for Data Science & Machine Learning Boot Camp/10. Missing Values - Pandas(Basic).ipynb
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content/notebooks/test/Appendix-TimeSeries.ipynb
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notebooks/rolldecay/02_roll_damping_DB/00.1_maa_equation.ipynb
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src/RMSD.ipynb
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20. Object Oriented Programming.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R # language: R # name: ir # --- # # Week 06, Part 4 # # ### Topic # 1. Rolling ...
week06/prep_part4_binomialDistributionCalculations.ipynb
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examples/example-using-random-data-points.ipynb
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Graph_Database/purchase_anomaly/purchase anomaly.ipynb
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notebooks/context_enrichment.ipynb
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Lab8_2020/Lab8_3112163.ipynb
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NHLBI_BioData_Catalyst/R/4_Genomic_Queries.ipynb
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Day9Assignments.ipynb
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0_explore_data/cluster_by_accessory_gene.ipynb
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stats.ipynb
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spiral_aggregation/uniform_galaxy_pitch_angle.ipynb
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Usando_while.ipynb
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demo_tictactoe/py/tictactoe.ipynb
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docs/examples/3-chromatography/3b-Chromatography.ipynb
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Step Through Variables and Data Types.ipynb
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FinanceAndPython.com-EconomicFoundations-master/11 Imports and Exports.ipynb
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machine_learning_and_computational_statistics/Homework9-partB/HW9b.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 线性支持向量机的朴素实现 # # + 虽然从形式上来说,线性支持向量机(LinearSVM)和感知机...
Notebooks/SVM/zh-cn/LinearSVM.ipynb