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 You Learn?
- 1. Understanding and developing machine learning algorithms starting from Linear Regression to Decision Trees, SVM, PCA, Clustering and other supervised and un-supervised techniques.
- 2. Learn a complete data science pipeline from data extraction, analysis, cleaning and feature engineering to developing and deploying intelligent systems.
- 3. Learn important python statistics and machine learning packages such as Stats-Model and Scikit-Learn, numpy, Pansas and visualization libraries.
- 4. Develop project portfolios in Data Science, Natural Language Processing (NLP) and Image Processing domains during the course to enhance employability.