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Data Science

Tips, Tricks and Thoughts

To use

  • Clone the repo: git clone https://github.com/bayoishola20/Data-Science-All.git

Additional Libraries Used

→ install.packages("xlsx") [To install this, run sudo apt-get install r-cran-rjava]

→ install.packages("openxlsx") [# The above does have memory issues even for a file of few MBs. Use this instead]

→ install.packages('RColorBrewer') [For viz color]

→ install.packages('ggthemes', dependencies = TRUE) [Theme for ggplot2]

→ install.packages('gridExtra') [For creating multiple histograms on a plot]

→ install.packages('leaflet') [For leaflet maps]

→ install.packages('tidyverse') [All tidyverse packages]

→ install.packages('stringr') [Checks for a pattern]

→ install.packages("sbtools") [USGS package (https://owi.usgs.gov/R/training-curriculum/usgs-packages/) for USGS web platform for data storage]

→ install.packages("dataRetrieval") [USGS package (https://owi.usgs.gov/R/training-curriculum/usgs-packages/) for retrieving gages (hydrologic time series data) with discharge from watershed]

→ to get above two working, run sudo apt-get install libudunits2-dev libxml2-dev

→ install.packages("sf") [For "simple features" like shapefiles]

→ to get above working on terminal run sudo apt install libgdal-dev, then install.packages(c("proj4", "rgdal", "sf")). Check gdal using gdalinfo --version

Tips

→ Get all files in a particular folder list.files("/home/bayo/Documents/Geostatistics & Geomarketing/")

Topics of Interest

  • matplotlib
  • D3.js
  • Spatial Analysis (leaflet, GDAL, OGR)
  • Inferential statistics & Probability distributions
  • Parameter estimation
  • Hypothesis testing
  • Statistical significance
  • Correlation and regression
  • A/B Testings
  • Maximum likelihood
  • Generalized linear model

Machine Learning

  • Scikit-learn
  • Supervised and unsupervised learning
  • Naive Bayes
  • SVM
  • Decision trees
  • Regression
  • clustering
  • Dimensionality reduction
  • Validation & evaluation of ML methods

bayoishola20

Inspired by several online resources and personal encounters. :smiles:

https://www.statmethods.net/input/datatypes.html

https://rstudio.github.io/leaflet/morefeatures.html

https://www.datacamp.com/community/data-science-cheatsheets

PS. Ubuntu is the OS used.

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