Practical Machine learning with Python
Analytics, Machine Learning and Artificial
Intelligence. These three names have touched the imaginations of all industry
professionals in last 5-8 years. There are many courses, degrees thrown around
this course.
But, come inside industry, and you see that
most of the people who have done courses struggle to implement their concepts
in real work. Why? Because real world data and problems are different, and
every problem needs to inquisitive mind to solve it.
We believe learning Analytics or ML is not
enough. Learning to apply those in solving problem can make an individual a ML
superstar.
The “Practical machine learning with
Python” – is a course designed by Industry professionals for getting individual
ready for Future ML Industry.
Why Python?
Because in Python you can not only learn
how to solve an ML problem, make it production ready.
Think about building a Chat Bot. You can
create the algo.s needed for that in Python, Integrations needed for services
for chat application and launch it in cloud platform as a web server serving
millions of people. Cool right!
What will be covered?
We will cover Supervised and Unsupervised
learning techniques, feature engineering and learn to build an end-to-end ML system
through a keystone project
Techniques:Data Wrangling, Regressions, KNN, Decision Tree, Random Forrest, Ensembles,
XGBoost, Naïve Byes, K-Mean
Clustering, Recommendation Systems,
Introduction to NLP, Feature Selection and Engineering, Dimensionality Reduction,
PCA, LDA, tSne
Bonus 1: Introduction to ANN
Bonus 2: Build a Chatbot