NETWORK VISUALIZATION Example: http://graphs.grevian.org/resources/static/images/example1.png Graph http://mathworld.wolfram.com/Graph.html DIRECTED, UNDIRECTED, WEIGHTED, UNWEIGHTED GRAPH REPRESENTATION IN ADJACENCY LIST, MATRIX REFERENCE SHEET https://quickgrid.wordpress.com/2015/05/29/directed-undirected-weighted-unweighted-graph-representation-in-adjacency-list-matrix-reference-sheet/ Graphs in Computer Science http://web.cecs.pdx.edu/~sheard/course/Cs163/Doc/Graphs.html Types of Graphs https://www.javatpoint.com/types-of-graphs Finite State Machines https://brilliant.org/wiki/finite-state-machines/ A D3 Network Graph http://bl.ocks.org/jose187/4733747 Fisheye Distortion https://bost.ocks.org/mike/fisheye/ http://www.michelecoscia.com/wp-content/uploads/2012/08/demon2.png Arc Layout http://bl.ocks.org/sjengle/5431779 Gridlayout http://opentutorials.cgl.ucsf.edu/images/b/bc/GridLayout.png Circular Layout https://66.media.tumblr.com/8162e2b68064b3aff0fcc5f9be90c016/tumblr_inline_mtcb19aG1n1qzro4y.png An A to Z of extra …
Category: AI ML DS RL DL NN NLP Data Mining Optimization
Sep 05
Data Visualization Misc
Data Visualization Overview: —————————- Data Visualization: About Data Visualization http://guides.library.duke.edu/c.php?g=289678&p=1930713 I Can See Clearly Now: A Survey of Data Visualization Techniques & Practice https://www.slideshare.net/myles_harrison/i-can-see-clearly-now-a-survey-of-data-visualization-techniques-practice-31179055 Visualization in Data Science: What is it for? http://guides.library.duke.edu/c.php?g=289678&p=1930713 Anscombe’s quartet https://en.wikipedia.org/wiki/Anscombe’s_quartet Storytelling and data visualization… So what? https://www.dapresy.com/storytelling-and-data-visualization/ Visualization Types https://guides.library.duke.edu/datavis/vis_types Junk Charts https://junkcharts.typepad.com/junk_charts/2012/10/expanding-circles-of-error.html Visualization Analysis & Design https://www.cs.ubc.ca/~tmm/talks/minicourse14/vad16nasa.pdf — Python …
Sep 05
Data Visualization: BASIC CHARTS : Resources:
BASIC CHARTS Types: Datasets and Data http://www.cs.ubc.ca/~tmm/talks/minicourse14/vad16nasa.pdf Common Charts Histogram: https://en.wikipedia.org/wiki/Histogram Histogram Examples: https://statistics.laerd.com/statisticalguides/understanding-histograms.php The problem with Sturges’ rule for constructing histograms https://robjhyndman.com/papers/sturges.pdf Bad examples for Histogram: https://www2.southeastern.edu/Academics/Faculty/dgurney/Math241/StatTopics/HistGen.htm Histogram (Non-Uniform Widths) https://www.onlinemathlearning.com/histogram-width.html What Is a Frequency Polygon Used For? https://www.reference.com/math/frequency-polygon-used-54f72d4d24e0666c Histograms and histographs https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/histo/5214822-eng.htm Frequency Polygon http://www.matematikaria.com/kamus/frequency-polygon.html — Bar Chart Chart https://en.wikipedia.org/wiki/Chart#/media/File:F%C3%B6rs%C3%A4ljningsstatisti%20k_f%C3%B6r_blanddrycker.png https://en.wikipedia.org/wiki/Chart Bar Chart: …
Sep 04
Data Visualization in Python (R)
Python Treemaps with Squarify & Matplotlib https://fcpython.com/visualisation/python-treemaps-squarify-matplotlib — Treemaps With Squarify https://galaxydatatech.com/2018/03/20/treemaps-with-squarify/ — 200 Basic Treemap with python https://python-graph-gallery.com/200-basic-treemap-with-python/ — Dendrograms in Python https://plot.ly/python/dendrogram/ https://python-graph-gallery.com/dendrogram/ — HIERARCHICAL CLUSTERING IN R: THE ESSENTIALS https://www.datanovia.com/en/lessons/examples-of-dendrograms-visualization/ — Geographic Data with Basemap https://jakevdp.github.io/PythonDataScienceHandbook/04.13-geographic-data-with-basemap.html — Plotting data on a map (Example Gallery)¶ https://matplotlib.org/basemap/users/examples.html — A quick demonstration of creating a …
Jul 09
AI/ML/Data Science: Cross Validation: KFold Cross validation: Concepts, Examples, Projects
Train/Test Split and Cross Validation in Python https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6 sklearn.ensemble.RandomForestRegressor¶ https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html "A random forest regressor. A random forest is a meta estimator that fits a number of classifying decision trees on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the …
Jul 07
Prediction: Bayesian: Regression: Concepts/Example Projects
Insurance HealthCare Costs: https://github.com/techshot25/HealthCare Linear and Bayesian modeling in R: Predicting movie popularity https://towardsdatascience.com/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184 Bayesian-Stock-Price-Prediction https://github.com/lschlessinger1/Bayesian-Stock-Price-Prediction Bayesian Prediction: Well (Oil) Production https://github.com/jpgrana/bayesian-approach-predicting-well-production Binary Classification on Stock Market (S&P 500) using Naive Bayes and Logistic Regression https://github.com/NeilPrabhu/Stock-Prediction Naive Bayes Weather Prediction https://github.com/husnainfareed/simple-naive-bayes-weather-prediction/blob/master/bayes.py Regression Predict Fuel Efficiency: https://www.tensorflow.org/tutorials/keras/basic_regression Regression-Example-Predicting-House-Prices https://github.com/andersy005/deep-learning/blob/master/keras/04-A-Regression-Example-Predicting-House-Prices.ipynb Stock Price Prediction using Regression https://github.com/chaitjo/regression-stock-prediction Concept: …
Jul 07
Statistics: Data Science: Kaiser-Meyer-Olkin (KMO) Test
Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy https://www.statisticshowto.datasciencecentral.com/kaiser-meyer-olkin/ KMO and Bartlett’s Test https://www.ibm.com/support/knowledgecenter/SSLVMB_23.0.0/spss/tutorials/fac_telco_kmo_01.html What should be ideal KMO value for factor analysis? https://www.researchgate.net/post/What_should_be_ideal_KMO_value_for_factor_analysis
Jul 05
PCA: Understand the affecting Factors for your portfolio, or credit score, or food pattern (causing diseases)
Overview for Principal Components Analysis https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/before-you-start/overview/ " The goal of principal components analysis is to explain the maximum amount of variance with the fewest number of principal components." Interpret the key results for Principal Components Analysis https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/interpret-the-results/key-results/ Interpret all statistics and graphs for Principal Components Analysis https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/interpret-the-results/all-statistics-and-graphs/ Methods and formulas for Principal Components Analysis https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/methods-and-formulas/methods-and-formulas/ …
Jun 26
Projects/Research: Association Analysis with Deep Learning
Association Analysis using Deep Learning (Association concepts are provided in the URLs near the end) — Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2698635 yanbeic/Deep-Association-Learning https://github.com/yanbeic/Deep-Association-Learning Tensorflow Implementation of the paper Chen et al. Deep Association Learning for Unsupervised Video Person Re-identification. BMVC2018. You …
Jun 22
Machine Learning: Apply PCA on Datasets and Related
FactorAnalyzer https://github.com/EducationalTestingService/factor_analyzer — sruti-jain/Marketing-Analysis-for-Hotel-Chain-website https://github.com/sruti-jain/Marketing-Analysis-for-Hotel-Chain-website — Understanding PCA (Principal Component Analysis) with Python https://towardsdatascience.com/dive-into-pca-principal-component-analysis-with-python-43ded13ead21 The code for the most part will work though it used an earlier version of Python You will need module: StandardScaler Otherwise you might find the code below to be useful: [# ref: https://python-for-multivariate-analysis.readthedocs.io/a_little_book_of_python_for_multivariate_analysis.html] import sklearn from sklearn import preprocessing standardisedX …
