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Short Course
From Beginner to Professional
Step into the future of technology with machine learning. Using Python, you’ll unlock the ability to analyze data, make predictions, and build intelligent systems. It’s the perfect entry point for anyone curious about AI, data science, or tech innovation.
8 weeks
6,000+ Students
Certificate Included
This course is designed to introduce beginners to the exciting world of machine learning using Python. You’ll explore core concepts like supervised and unsupervised learning, model training and evaluation, and real-world applications using libraries such as Scikit-learn, Pandas, and NumPy.
Machine learning is at the heart of modern data science, powering technologies like recommendation engines, predictive analytics, and AI systems. Python is the industry standard for implementing machine learning due to its simplicity and robust libraries. By the end of the course, you’ll be able to build and train basic models and understand how machines learn from data.
Understand the fundamentals of machine learning, its real-world applications, and the difference between supervised and unsupervised learning.
Learn how to clean, transform, and prepare datasets using Python libraries such as Pandas and Scikit-learn for machine learning models.
Explore linear regression, decision trees, and support vector machines to make predictions based on labeled datasets.
Understand clustering and dimensionality reduction techniques like K-means and PCA for discovering hidden patterns in data.
Evaluate model accuracy using cross-validation, confusion matrices, and ROC curves. Learn to fine-tune models for better performance.
Learn how to save, share, and deploy models using tools like Flask or Streamlit, and integrate them into real-world applications.
Join the thousands of students who have transformed their careers with our comprehensive certification tech courses within a short period of time today!
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