aneeta kMachine Learning Models ExplainedMachine Learning is the careful creation of algorithms to improve automatically through each experience. The algorithms in machine…Aug 6, 2020Aug 6, 2020
aneeta kWhy Google Is Your BFF Throughout Your Machine Learning JourneyThe very first thing I’ll warn you about are rabbit holes. They are annoying, you can’t seem to find the exact answer to the exact thing…Jul 31, 2020Jul 31, 2020
aneeta kTrain Test Split vs. Cross-ValidationWhat is Machine Learning? Well, in the most simple way, there is data, algorithms, learning, good predictions and bad predictions.Jul 25, 2020Jul 25, 2020
aneeta k4 Ways To Evaluate a Machine Learning Model’s PerformanceOnce the data has been collected, analyzed, scrubbed and features have been extracted and engineered, and thrown into several models, how…Jul 18, 2020Jul 18, 2020
aneeta kWhat Are Overfitting and Underfitting in Machine Learning?In machine learning, a learning algorithm makes predictions on ‘unseen data’. It is previously trained using a set of ‘training data’ to…Jul 12, 2020Jul 12, 2020
aneeta kGitHub for Complete BeginnersWhat GitHub is a ‘hub’ that lets you and others work on projects together while keeping different versions of the main ‘project’ in…Jul 1, 2020Jul 1, 2020
aneeta kThe Confusion MatrixIn machine learning, particularly within the statistical hypothesis a confusion or error matrix, is a tabular visualization of the…Jun 26, 2020Jun 26, 2020
aneeta kDealing with Time-Series Data, Using ARIMAARIMA (Auto-Regressive Integrated Moving Average) models are applied in cases where data show evidence of non-stationarity, where an…Jan 31, 2020Jan 31, 2020
aneeta kinwhy data science?my data science journey.i first heard the term ‘big data’ a couple of years ago, outside of my field of work. i had specialized in oracle database administration…Dec 3, 2019Dec 3, 2019