Description
Certificate in Python Machine Learning
Duration: 8-12 Weeks (Flexible Learning)
Mode: Online/In-Person
Level: Intermediate
Prerequisites: Basic Python programming knowledge, familiarity with algebra and statistics
Course Overview
This certificate program provides hands-on training in Machine Learning (ML) using Python. Participants will learn to build, evaluate, and deploy ML models using libraries like Scikit-learn, TensorFlow/Keras, and Pandas. The course covers key concepts such as supervised/unsupervised learning, neural networks, and model optimization.
Course Modules
1. Introduction to Python for Machine Learning
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Python basics (NumPy, Pandas, Matplotlib/Seaborn)
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Data preprocessing (cleaning, normalization, feature engineering)
2. Supervised Learning
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Regression (Linear, Polynomial, Ridge/Lasso)
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Classification (Logistic Regression, SVM, Decision Trees, Random Forest)
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Model evaluation (cross-validation, metrics like RMSE, accuracy, F1-score)
3. Unsupervised Learning
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Clustering (K-Means, Hierarchical, DBSCAN)
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Dimensionality Reduction (PCA, t-SNE)
4. Deep Learning Basics
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Introduction to Neural Networks
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TensorFlow/Keras for building MLPs, CNNs, and RNNs
5. Model Deployment & Optimization
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Hyperparameter tuning (Grid Search, Random Search)
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Introduction to Flask/Django for model deployment
6. Capstone Project
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End-to-end ML project: From data collection to model deployment
Learning Outcomes
✔ Build and optimize ML models using Python.
✔ Work with real-world datasets for predictive analysis.
✔ Understand Deep Learning fundamentals.
✔ Deploy models using cloud platforms (AWS/GCP optional).
Who Should Enroll?
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Aspiring Data Scientists/Machine Learning Engineers
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Software Developers transitioning to AI/ML
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Analysts looking to upskill in predictive modeling
Certification
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Awarded upon completing assignments, quizzes, and the capstone project.
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Includes graded performance feedback.
Tools & Technologies
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Python, Jupyter Notebooks
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Scikit-learn, TensorFlow, Keras
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Pandas, NumPy, Matplotlib
Fee & Enrollment
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Price: $300-$800 (varies by institution)
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Scholarships: Available for eligible candidates.
Enhance your AI career with Python ML skills! 🚀




