AI & Machine Learning
Machine Learning Certification
Dive deep into supervised and unsupervised learning algorithms with Python.
6 Days
₹19,999
Course Overview
Machine Learning is reshaping every industry. This course provides a robust foundation in predictive modeling, covering both the mathematics and the practical Python implementation of classic ML algorithms.
Using industry-standard libraries like Scikit-Learn and Pandas, you will build, train, evaluate, and deploy machine learning models on real-world datasets.
Course Curriculum
- 1Introduction to ML & Scikit-Learn
- 2Regression Models (Linear, Polynomial)
- 3Classification Models (Logistic, SVM, Trees)
- 4Unsupervised Learning (K-Means, PCA)
- 5Model Evaluation and Hyperparameter Tuning
Who Should Attend
Data Analysts, Software Engineers, Aspiring Data Scientists
Key Information
Prerequisites:
Basic proficiency in Python programming and high-school level mathematics (statistics/algebra).
Exam Format:
Capstone Project: Train and optimize a machine learning model to achieve a target accuracy.
Key Benefits
- Build predictive models
- Master Scikit-Learn
- Real-world ML projects