Machine learning is a topic which is leading the trend in the transformation of organisations from digitisation to data-driven. This course aims to expose the learner to the code underpinnings of constructing and assessing a subset of the machine learning tasks, namely the classification, time series and clustering/feature extraction tasks. The objective is to target commonly encountered tasks in the space of financial data analysis. Participants will be able to gain familiarity in such tasks and have a deeper understanding of tackling them.
Windows OS or MAC OS installed with anaconda
Day 1:
Module 1:
To enable learners to have an overall understanding of the landscape of Data Mining and Machine Learning.
Module 2:
To give the participants the very first steps towards forming hypothesis and doing predictive analytics, learning some of the classification techniques in supervised learning.
Module 3:
It aims to equip participants with the basics of how supervised machine learning models work and how evaluation and optimization can be carried out.
Day 2:
Day 2 will continue the journey for the learners in machine learning with focus on Neural Networks and Unsupervised learning techniques.
Module 4:
This module work with exploring time-based data, here participants will learn about how to assess and play with past data to explain future movements.
Module 5:
To equip learners in understanding some of the Unsupervised learning techniques which is required for machine learning.
Module 6:
To further equip learners with knowledge on neural networks, this is a flexible method for which new machine learning fields are being pioneer.
This course expects that learners come in a basic understanding of python, from there we will build upon their understanding and teach from a data point of view.
Priority scheduling, dedicated customer service officer.
Custom run at Avanta premises and dedicated Schedules
AI, Data & IT
AI, Data & IT
AI, Data & IT
