Free Download Udemy - Machine Learning Made Easy Beginner to Expert Journey
Published 5/2025
Created by Bytelumina LLC
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 216 Lectures ( 9h 39m ) | Size: 3.26 GB
Machine Learning, Python Basics, Data Analysis, Exploratory Data Analysis (EDA), Supervised Learning, Unsupervised Learn
What you'll learn
Understand core ML concepts and apply them using Python.
Master key ML algorithms using Python and essential libraries.
Master key ML libraries like NumPy, Pandas, Scikit-learn, and Matplotlib
Learn to preprocess and analyze data for effective model building.
Build practical ML models using real-world datasets.
Requirements
Foundational math skills - Understanding basic algebra
Basic computer literacy - Ability to navigate files, install software
A laptop - Required for coding, running ML models, and practicing hands-on exercises.
Internet connection - Needed for accessing course materials, datasets, and online resources.
Description
This course is designed for individuals with foundational math and computer skills, as well as those at an intermediate and advanced level who want to build a strong understanding of machine learning. You don't need a high-end laptop-just a willingness to learn! The course includes a crash course on Python basics, covering essential libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn. By the end, you'll master data analysis, exploratory data analysis, supervised and unsupervised learning, and applying machine learning algorithms to real-world problems. It covers key algorithms such as linear regression, polynomial regression, logistic regression, K-Nearest Neighbors (KNN), K-Means clustering, DBScan, Support Vector Machines (SVM), and anomaly detection.Additionally, this course will help you develop strong problem-solving skills and understand how to interpret data effectively. You will gain hands-on experience through practical examples and real-world case studies, ensuring you can confidently apply machine learning techniques in various domains. Whether you're working on business applications, finance, healthcare, or AI-driven innovations, this course will equip you with the necessary skills to succeed. With step-by-step guidance and interactive exercises, you will build a strong foundation, allowing you to transition into advanced concepts effortlessly. By the end of this training, you'll be able to create, optimize, and evaluate machine learning models with confidence
Who this course is for
Anyone eager to learn machine learning with foundational math and IT skills.
Business executives seeking insights into AI and data-driven decision-making
Beginner developers looking to build a strong foundation in machine learning.
Machine learning enthusiasts eager to explore practical applications.
Technical professionals wanting to enhance their analytical skills.
Project managers aiming to understand ML-driven solutions.
Product managers interested in leveraging ML for business strategy.
Students preparing for careers in data science, AI, or related fields.
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