NLP, which stands for Natural Language Processing, is a branch of artificial intelligence that helps computers understand, interpret, and manipulate human language to process and understand human language in any given field so that they can Automatically perform duplicate tasks such as machine translation, summarizing ticketing, and more. Take emotion analysis, for example, which uses natural [...]
It is important to establish baseline performance on a predictive modeling problem. A baseline provides a point of comparison for the more advanced methods that you evaluate later. In this tutorial, you will discover how to implement baseline machine learning algorithms from scratch in Python. After completing this tutorial, you will know: How to implement the random [...]
A baseline is a method that uses heuristics, simple summary statistics, randomness, or machine learning to create predictions for a dataset. You can use these predictions to measure the baseline's performance (e.g., accuracy)-- this metric will then become what you compare any other machine learning algorithm against. you know: There are many machine learning algorithms to [...]
Machine Learning is a part of Data Science, an area that deals with statistics, algorithmics, and similar scientific methods used for knowledge extraction. Engineers can use ML models to replace complex, explicitly-coded decision-making processes by providing equivalent or similar procedures learned in an automated manner from data. ML offers smart solutions for organizations that want to [...]
Feature engineering is the most important art in machine learning which creates a huge difference between a good model and a bad model. Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. Sometimes, removing the unwanted feature is also a feature engineering. As the feature [...]
