Tips, Tricks and Thoughts

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

→ 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

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

• 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

• 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.