Machine Learning
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Course Summary
Laaksh’s Machine Learning course helps you build intelligent models using Python. Learn core ML algorithms, data preprocessing, and model evaluation through real-world projects. Ideal for students, tech enthusiasts, and data professionals.
Requirements
Basic knowledge of Python and data handling
Math fundamentals (algebra, probability)
Laptop/PC with Python, Jupyter Notebook, and ML libraries installed
Interest in AI, automation, or data-driven technologies
This hands-on Machine Learning course at Laaksh introduces you to the foundations of ML, from supervised to unsupervised learning. You’ll work with Python libraries to train, test, and evaluate predictive models using real datasets.
Key topics include:
Introduction to Machine Learning & AI
Data preprocessing & feature engineering
Supervised learning (Linear & Logistic Regression, Decision Trees)
Unsupervised learning (Clustering, PCA)
Model evaluation and tuning
Working with Scikit-learn, NumPy, Pandas
Real-world projects: prediction models, recommendation systems
Introduction to deep learning (basics)
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