2025 Machine Learning & Data Science for Beginners in Python

Overview

Welcome to the 2025 Machine Learning & Data Science for Beginners in Python course, brought to you by Udemy. Perfect for those eager to embark on their data science journey, this course covers a variety of essential projects.

You will gain hands-on experience with techniques such as Linear Regression, Logistic Regression, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), KMeans clustering, XGBoost, and Principal Component Analysis (PCA).

Categories that this course falls under include Machine Learning Courses, Supervised Learning Courses, Unsupervised Learning Courses, and specific focuses like XGBoost Courses, Linear Regression Courses, and Support Vector Machine (SVM) Courses. This course serves as a comprehensive introduction to the vibrant world of data science, offering you the skills needed to solve real-world problems effectively.

Subjects