Instance-Based vs Model BasedBefore Learning what is Instance-based learning and how it differs from model-based learning, we need to understand what is a use case and what role a Machine Learning model plays in this. Use case In the context of machine learning (ML), a use case ...May 1, 2023·3 min read
Types of MLWe know already the 4 different types of Machine Learning; Supervised ML Unsupervised ML Semi-Supervised ML Reinforcement Learning Dependant vs Independant When we want to predict something, we use certain pieces of information called "independ...Apr 10, 2023·3 min read
Box Plot (14)Definition A box plot, also known as a box and whisker plot, is a statistical graph used to represent the distribution of a dataset. It is called a box plot because the graph consists of a box that represents the middle 50% of the data and "whiskers"...Mar 26, 2023·2 min read
Z-Score (13)Definition A Z-score measures how far away a data point is from the average (also called the mean) of a group of data points, in units of standard deviation. Standard deviation is a way of measuring how spread out the data points are. For example, im...Mar 24, 2023·2 min read
Practical Encoding (12)In this, we will understand everything about encoding what I explained before but through Python coding: One Hot Encoding One hot encoding is a popular technique for converting categorical variables into a format that can be used for machine learning...Mar 22, 2023·6 min read