Complete Machine Learning Algorithms Course

Learn Complete Machine Learning Algorithms Course : From Basics to Advanced

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Last Updated: 2025-02-11 09:02:36 English Course Type: Self Learning

Easy-to-follow explanations for beginners.
Apply algorithms to real industry problems.

Unlock the power of Machine Learning by mastering the most essential ML algorithms in this comprehensive course! Whether you're a beginner or an intermediate learner, this course will take you step by step through the core algorithms used in data science, AI, and predictive modeling.

Machine learning is at the heart of modern AI and is widely used in finance, healthcare, marketing, and technology. This course covers the most widely used ML algorithms, explaining their concepts, implementation, and real-world applications.

What You Will Learn?

✅ Logistic Regression – Understanding classification and probability predictions.

✅ Linear Regression – Building models for predictive analysis.

✅ Support Vector Machines (SVM) – Classifying data using hyperplanes and kernels.

✅ Random Forest – Learning from multiple decision trees for improved accuracy.

✅ Decision Trees – Understanding how machines make choices based on conditions.

✅ Naïve Bayes – Probability-based classification for text analysis and spam filtering.

✅ K-Nearest Neighbors (KNN) – Predicting outcomes based on closest data points.

✅ K-Means Clustering – Grouping similar data points without supervision.

By the end of this course, you'll understand, implement, and optimize essential machine learning algorithms to build your own AI models confidently.

Basics Of Python
Install Vscode For Project

Students & Beginners looking to learn Machine Learning
Beginners in machine learning and AI

Section 1 : Complete Machine Learning Algorithms Course 10 Lectures 01:16:54
Lecture 1 :
Machine Learning Course Introduction Preview
Lecture 2 :
Machine Learning Class 1 : Linear Regression
Lecture 3 :
Machine Learning Class 2 : Logistic Regression
Lecture 4 :
Machine Learning Class 3 : Support Vector Machine
Lecture 5 :
Machine Learning Class 4 : Decision Tree
Lecture 6 :
Machine Learning Class 5 : Random Forest
Lecture 7 :
Machine Learning Class 6 : Naive Bayes
Lecture 8 :
Machine Learning Class 7 : KNN
Lecture 9 :
Machine Learning Class 8 : K Means Clustering
Lecture 10 :
Machine Learning Project

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Arunnachalam RS,

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Hi Friends !! I am Arunnachalam R S From India. I am a Computer Science Student and I have Selected Cybersecurity as my Profession. I teach people about the latest technology. I am a big cricket fan of MS Dhoni. I can help people with my knowledge about the technology. I am choosing LearnFly to show my passion towards technology and Science..