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What is machine learning? What are the applications of ML? Types of Machine Learning - Supervised, Unsupervised, Reinforcement.
In this free machine learning certification course, you will learn Python, the basics of machine learning, how to build machine learning models, and feature engineering techniques to improve the performance of your machine learning models.
Jun 25, 2024 · Artificial Intelligence is achieved by both Machine Learning and Deep Learning. There are three steps in the workflow of an AI project. They are Data collection, model training, and Deploying it.
Check out our FREE and Comprehensive learning paths to start your machine learning and deep learning journey today. These paths have been created after taking inputs from industry mentors. Get Started for FREE
Understand how Machine Learning and Data Science are disrupting multiple industries today. Linear, Logistic Regression, Decision Tree and Random Forest algorithms for building machine learning models. Understand how to solve Classification and Regression problems in machine learning.
1 Project. Getting Started with Machine Learning. 3 Project 1 Assignment. Learning from Industry Experts. Program Stats. 4+ Projects.
Mar 24, 2023 · The Next Big Leap in AI & ML is Here. 50+ Hands-On Projects. Use knowledge for real challenges. Create a standout portfolio. 35+ Targeted Assignments. Boost your problem-solving skills. Master 22+ tools & technologies. 1:1 Expert Mentorship. Personalized sessions with industry experts. Dedicated placement assistance. Enroll Now.
Jul 8, 2020 · Linear Regression is one of the most basic Machine Learning algorithms and is used to predict real values. It involves using one or more independent variables to predict a dependent variable.
All Courses, Machine Learning Courses Support Vector Machine (SVM) in Python and R
Mar 10, 2021 · Mar 10, 2021. In this small blog, I will cover a complete roadmap to mastery machine learning from beginner to advance level. As we know machine learning, data science, Artificial...
