Decision TreesA Decision Tree is a supervised machine learning algorithm used for classification and regression tasks. It works like a flowchart to make decisions based on input features by splitting data into subsets based on feature values. Terminologies : Roo...Jun 22, 2025·3 min read
Week 5 : Linear RegressionLinear regression is a statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data. This widely used Technique is one foundational machine learni...Jun 2, 2025·3 min read
Exploratory Data Analysis (EDA)EDA involves a combination of statistical tools, visualization techniques, and sometimes a little intuition to uncover the structure of a dataset. The goal is to get a sense of what’s in the data, detect outliers or unusual patterns, and make initial...May 25, 2025·3 min read
Data Preprocessing in MLThe data that we collect to train the machine learning model have alot of issues to tackle them we preprocess the data. We will use Titanic Disaster dataset to understand further : Loading the essential libraries in python for data processing : impor...May 18, 2025·1 min read
Week 2 : ML Development Life CycleSimilar to software development where we follow Software Development Life Cycle (SDLC) to build new software, We follow Machine Learning Development Life Cycle (MLDLC) to develop machine learning models. These processes make development easier and ea...May 11, 2025·3 min read
Week 1 :Introduction to machine learningMachine learning is a subset of Artificial Intelligence(AI) where we develop algorithms in such a way that enables learn from data and perform tasks based on that data without being explicitly programmed to do so like how chat bots aren’t explicitly ...May 4, 2025·4 min read