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Learn how machines learn from data. Build predictive models, explore regression and classification techniques, and apply machine learning algorithms using real datasets and industry-standard tools
Course Content
Introduction to ML
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Machine Learning definitions
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Applications
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Types of Machine Learning
Python for ML
EDA & Data Preprocessing
Feature Engineering
Linear & Logistic Regression
KNN & SVM
Decision Trees & Random Forests
Model Evaluation
Unsupervised Learning
PCA & t-SNE
Association Rule Mining
Ensemble Methods
Cross Validation & Tuning
Model Deployment Basics
Capstone Project – Part 1
Capstone Project – Part 2
Capstone Project – Part 3
ML Interview Prep
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Course Includes:
- Price: $699.00
- Instructor:educlassixglobal
- Duration:
Lessons:50- Students:3
- Level:Beginner