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Intermediate12 weeks

Machine Learning Essentials

Understand how machines learn — and build models that actually work.

Supervised and unsupervised learning end-to-end.

What You'll Learn

Master the ML workflow: data → features → model → evaluation → deployment
Implement supervised learning: regression and classification algorithms
Apply unsupervised learning: clustering and dimensionality reduction
Tune hyperparameters and prevent overfitting with cross-validation
Evaluate models with precision, recall, F1-score, and ROC-AUC
Build end-to-end ML pipelines with Scikit-learn
Deploy a simple ML model as a web API

Course Curriculum

Week 1–2ML Foundations
  • Types of ML: supervised, unsupervised, reinforcement
  • The ML workflow end-to-end
  • Feature engineering and preprocessing
  • Train/test split and cross-validation
Week 3–4Regression Algorithms
  • Linear and polynomial regression
  • Ridge and Lasso regularisation
  • Gradient descent from scratch
  • Evaluating: MSE, RMSE, R²
Week 5–7Classification Algorithms
  • Logistic regression
  • Decision trees and Random Forests
  • Support Vector Machines (SVM)
  • k-Nearest Neighbours, Naive Bayes
Week 8–9Unsupervised Learning
  • k-Means clustering
  • Hierarchical clustering
  • Principal Component Analysis (PCA)
  • Anomaly detection
Week 10–12Advanced Topics & Deployment
  • Ensemble methods: bagging, boosting, XGBoost
  • Model pipelines with Scikit-learn
  • Saving models with joblib/pickle
  • Deploying ML API with FastAPI + Render

Projects You'll Build

Spam email detectorCustomer churn predictorMovie recommendation engineCredit card fraud detection

Tools & Technologies

PythonScikit-learnXGBoostPandasMatplotlibFastAPIRenderJupyterKaggle
Prerequisites
  • â–¸Python for AI & Data Science (or equivalent)
  • â–¸Comfort with NumPy, Pandas, and basic statistics
Who It's For
  • â–¸College students (2nd year and above)
  • â–¸Working professionals entering data science
  • â–¸Developers adding ML to their skill set

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Machine Learning Essentials

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12 weeks
Duration
Intermediate
Level
Yes
Certificate
Online / Offline
Mode