Machine Learning Part 3
Certification by GRADSKEY
- Foundation
- Medium
- Certificate
Artificial Intelligence/Machine Learning
Syllabus
65 hours of intractive online class.
Module 1: Introduction to AI & ML (5 Hours) |
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What is AI, ML, Deep Learning,Types of AI |
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Supervised vs Unsupervised Learning |
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Real-world AI applications |
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ML workflow,AI ethics and bias Activities AI use-case discussion, Simple prediction demo |
Module 2: Python for ML (8 Hours) |
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Python basics, NumPy, Pandas |
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Matplotlib, Data preprocessing, Feature engineering |
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Mini Project Student marks analysis, Data cleaning |
Module 3: Statistics & Mathematics for ML (8 Hours) |
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Mean, Median, Mode, Probability |
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Correlation, Linear Algebra basics, Gradient Descent |
PracticeData visualization, Statistical calculations |
Module 4: Supervised Learning (12 Hours) |
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Linear Regression, Logistic Regression |
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Decision Trees, Random Forest |
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SVM, KNN |
ProjectsHouse Price Prediction, Student Performance Prediction |
Module 5: Unsupervised Learning (8 Hours) |
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Clustering, K-Means |
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PCA |
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Association Rules |
ProjectsCustomer Segmentation |
Module 6: Deep Learning Basics (10 Hours) |
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Neural Networks, TensorFlow/Keras |
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ANN |
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CNN basics |
ProjectsImage Classification |
Module 7: Deployment & MLOps Basics (6 Hours) |
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Flask/FastAPI, Model deployment |
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APIs |
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Cloud basics |
ProjectML Web App Deployment |
Module 8: Capstone Project (8 Hours) |
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Choose one |
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Face Mask Detection, Resume Screening System |
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AI Chatbot |
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Disease Prediction System, Attendance Prediction System |
Instructor
Corporate Instructors
From Premier Companies.
“Instructors are from Corporate – Software Engineers from premium companies, working on the cutting-edge technologies and Java on a day to day basis..”
What Our Learners Say
