Linear Regression is one of the most important and widely used algorithms in Machine Learning and Data Science. In this video, we break down the fundamentals of Simple and Multiple Linear Regression and show how they’re used to make predictions and analyze data trends.
📊 Whether you're just starting your ML journey or enhancing your data analytics skills, this video will give you a solid foundation in predictive analytics using Linear Regression.
📌 What You'll Learn:
💡 What is Linear Regression? – Understand the core concepts of linear models.
📊 Types of Linear Regression – Simple vs Multiple Regression with examples.
📈 Evaluating Models – Learn about R², MAE, MSE, and RMSE metrics.
🧠 Key Assumptions – Linearity, independence, multicollinearity, and homoscedasticity.
🎯 Why Learn with Imarticus Learning?
Learn from industry experts with real-world experience.
Access mock tests, mentorship, and flexible learning options.
Get 100% Job Assurance through 2,000+ hiring partners.
🚀 Program Highlight:
The Postgraduate Program in Data Science and Analytics (PGA) is a 6-month, job-assured course offering 300+ learning hours, 25+ real-world projects, and hands-on training in tools like Python, Power BI, and Tableau.
📈 22.5 LPA highest salary | 52% average hike | 100% placement assurance
👉 Start your Data Science journey today
