This course is a highly practical course which focuses on introducing the various data science and machine learning libraries and algorithms which are used across various use cases in the industry today.
Participants will be exposed to supervised and unsupervised learning using scikit-learn, evaluating and comparing different models. Participants who complete this course will have a grasp of intermediate python and data science and would be ready to tackle the more advanced levels.
Who Should Attend
Those who want to learn machine learning using Python such as students, working professionals and PMETs.
Mode of training: Classroom
Duration: 8 hours (1 day)
For latest course schedule, please enquire with your course consultant or simply fill up the enquiry form.
Module 1: Recap of basics of Python and data preparation in Python
Module 2: Introduction to Machine Learning with Scikit-Learn
Module 3: Unsupervised Machine Learning
Module 4: Supervised Machine Learning
Module 5: Evaluating Machine Learning Models
Aditya is a tech enthusiast with more than 6 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has worked across various domains including automotive, banking, retail among others. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards tech, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building AI and AR based products for various sectors. He also founded Code For India which specializes in delivering top notch skills in Data Science and AI as required in the industry today. He also loves to teach students and professionals Data Science and AI and does that regularly in Singapore.
Kaplan reserves the right to change trainer, in light of unforeseen circumstances.