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Computer Science / Information Technology

Machine Learning

Master the fundamentals and advanced concepts of computer science / information technology. This comprehensive course will take you from beginner to expert level with hands-on projects and real-world applications.

4.8★
Rating
20-30 hours
Duration
1.2k
Students
4
Chapters
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Machine Learning

Course Curriculum

1

Introduction to Machine Learning

Topics & Subtopics

• What is Machine Learning? • Types of ML: Supervised, Unsupervised, Reinforcement Learning • ML vs Traditional Programming • Applications of ML in real-world • Python libraries for ML: NumPy, Pandas, Scikit-learn

Learning Outcomes

• Understand the fundamentals of Machine Learning • Differentiate between types of ML • Identify ML applications in various industries • Set up Python environment for ML
2

Data Preprocessing and Exploration

Topics & Subtopics

• Data collection and understanding • Data cleaning and handling missing values • Feature scaling and normalization • Data visualization with Matplotlib and Seaborn • Exploratory Data Analysis (EDA)

Learning Outcomes

• Clean and preprocess data effectively • Handle missing values and outliers • Visualize data patterns • Perform comprehensive EDA
3

Supervised Learning Algorithms

Topics & Subtopics

• Linear Regression and Logistic Regression • Decision Trees and Random Forest • Support Vector Machines (SVM) • Naive Bayes Classifier • Model evaluation metrics

Learning Outcomes

• Implement various supervised learning algorithms • Understand algorithm selection criteria • Evaluate model performance • Apply cross-validation techniques
4

Unsupervised Learning and Model Deployment

Topics & Subtopics

• Clustering algorithms (K-Means, Hierarchical) • Dimensionality reduction (PCA) • Model deployment strategies • Model monitoring and maintenance • Real-world ML project implementation

Learning Outcomes

• Apply unsupervised learning techniques • Reduce data dimensionality • Deploy ML models in production • Monitor and maintain deployed models
4
Total Chapters
20-30 hours
Total Duration
4
Modules
Practical
Labs

Ready to start your learning journey?

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Student Reviews

4.8
Based on 1,247 reviews

Rating Distribution

5
892
4
234
3
89
2
22
1
10

Recent Reviews

AJ

Alex Johnson

2 weeks ago

Excellent course! The instructor explains complex concepts in a very clear and engaging way. The hands-on projects really helped me understand the material better.

SC

Sarah Chen

1 month ago

This course exceeded my expectations. The curriculum is well-structured and the instructor is very knowledgeable. I've already applied what I learned in my current job.

MR

Michael Rodriguez

3 weeks ago

Great course overall. The content is comprehensive and the instructor provides good examples. Would recommend to anyone looking to learn this topic.

ED

Emily Davis

1 week ago

Amazing course! The instructor's teaching style is perfect for beginners. The step-by-step approach made everything easy to follow.

Requirements

💻

Basic Computer Skills

Basic understanding of using a computer and internet

🎯

No Prior Experience Required

This course is designed for complete beginners

🌐

Internet Connection

Stable internet connection for video streaming

⏰

Dedication & Time

Commitment to complete the course and practice

Target Audience

Students and recent graduates
Working professionals looking to upskill
Career changers
Entrepreneurs and business owners
Anyone interested in learning new skills

Access To This Course

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