AI & Future Tech
4.8 Rating
Machine Learning Certification
Become a Machine Learning Engineer. Master algorithms, predictive modeling, and data analysis techniques.
16 Weeks
Intermediate to Advanced
1200+ Enrolled
Course Fee
₹55,000
Course Overview
Dive deep into the mathematically beautiful world of Machine Learning. This course covers the entire spectrum of ML, from classical algorithms like Linear Regression and Decision Trees to ensemble methods and neural network foundations. You will work on real-world datasets to solve business problems.
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Curriculum & Syllabus
1
Python for Data Science (NumPy, Pandas)
2
Supervised Learning (Regression, Classification)
3
Unsupervised Learning (Clustering, PCA)
4
Feature Engineering & Selection
5
Model Evaluation & Tuning
6
Ensemble Methods (focused on Random Forest, XGBoost)
7
Deployment with Flask/FastAPI
Key Outcomes
Clean and visualize complex datasets
Build and train predictive models
Optimize model performance
Deploy ML models to production
Technologies Covered
PythonScikit-LearnPandasNumPyJupyterMatplotlib
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