Machine Learning
Description
Machine learning (ML) is the main workhorse of modern intelligent systems and data analytics. In this course, we offer a hands-on experience on different ML algorithms using Python, a programming language mainly intended for ML algorithms, without going into deeper mathematical details with the help of case studies and real-world data.
What Will I Learn?
- Learning Outcomes:
- • Understanding and developing machine learning algorithms starting from Linear Regression to Decision Trees, SVM, PCA, Clustering and other supervised and un-supervised techniques.
- • Learn a complete data science pipeline from data extraction, analysis, cleaning and feature engineering to developing and deploying intelligent systems.
- • Learn important python statistics and machine learning packages such as Stats-Model and Scikit-Learn
- • Develop project portfolios in Data Science, Natural Language Processing (NLP) and Image Processing domains during the course to enhance employability.
Free
Requirements
- Good in python programming or have taken our Python Programming course.
Target Audience
- Graduates or final year students of all Engineering fields and Computer sciences who are interested in pursuing Machine learning / intelligent programming / Artificial Intelligence / Data Science as a career. Professionals in different fields of technology are equally eligible who want to enhance their professional skills in AI.