◈ ML Cloud Engineer at LTIMindTree
◈ Founder and CEO at The Art of Data Science
◈ Research Interest in Machine Learning, Deep Learning, Natural Language Processing
◈ Master's Degree in Data Science at Warsaw University of Technology, Warsaw
◈ Bachelor's Degree in Computer Science at the University of Engineering and Technology, Lahore
◈ Author of the Following Books:
🟆 Deep Learning Objective
🟆 Hands-On Machine Learning with Scikit-Learn.
amirali5 / data-preprocessing Goto Github PK
View Code? Open in Web Editor NEWIn this repo, all about Data preprocessing. Data preprocessing is a required first step before any machine learning machinery can be applied, because the algorithms learn from the data and the learning outcome for problem solving heavily depends on the proper data needed to solve a particular problem – which are called features. Examples of data preprocessing include cleaning, instance selection, normalization, one hot encoding, transformation, feature extraction and selection, etc.
Home Page: https://sites.google.com/view/amir-ali