Jeremiah LutesinTowards Data SciencePivot Tables are Quick and Easy in PythonHow to create and visualize pivot tables in Python with the Pandas library.Feb 14, 20211Feb 14, 20211
Jeremiah LutesinTowards Data ScienceBinning for Feature Engineering in Machine LearningUsing binning as a technique to quickly and easily create new features for use in machine learning.Jan 8, 2021Jan 8, 2021
Jeremiah LutesinTowards Data ScienceCorrelation Is Simple With Seaborn And PandasHow to quickly find strong correlations in data using Python, Pandas, and Seaborn’s heatmap functionDec 2, 20203Dec 2, 20203
Jeremiah LutesinTowards Data ScienceEntropy and Information Gain in Decision TreesA simple look at some key Information Theory concepts and how to use them when building a Decision Tree Algorithm.Nov 15, 202010Nov 15, 202010
Jeremiah LutesinTowards Data ScienceStatistical Significance with the help of PythonUsing Python to examine if a result is due purely to chance.Oct 4, 20201Oct 4, 20201
Jeremiah LutesinTowards Data ScienceSimplify Calculus for Machine Learning with SymPyMachine learning requires some calculus. Many of the online Machine learning courses don’t always cover the basics of calculus assuming…Sep 6, 2020Sep 6, 2020
Jeremiah LutesinAnalytics VidhyaClassifying Food With Naive BayesThe Naive Bayes algorithm is a simple algorithm that uses probability rules to classify data. There are three different types of Naive…Aug 2, 2020Aug 2, 2020
Jeremiah LutesinAnalytics VidhyaZ-Scores and Standard Deviation in PythonA brief walkthrough in finding z-scores and standard deviation in python.Jul 4, 2020Jul 4, 2020
Jeremiah LutesinAnalytics VidhyaUsing Pandas and Seaborn For Quick and Easy Visualizations in PythonA quick walkthrough using pandas.Series.apply() to create original scale columns to visualize with a count plot graph using…May 31, 2020May 31, 2020
Jeremiah LutesinAnalytics VidhyaWeb Scraping Using Python’s Beautiful LibraryUsing Python libraries with CSS selectors to simply and quickly get information/data from a website.Apr 26, 2020Apr 26, 2020