Module – 1 Introduction
View Details- Overview of ML, AI & other fields - Historical developments - Emerging jobs in ML - Usage areas - Types & fundamental elements
Module – 2 Supervised ML
View Details- Brainstorming on supervised ML - Features & Labels - Regression & its purpose - Classification & its purpose
Module – 3 Unsupervised ML
View Details- Brainstorming on unsupervised ML - Supervised v/s unsupervised ML - Clustering & its purpose - Feature selection using unsupervised ML
Module – 4 Regression models
View Details- Linear regression - Lasso & ridge regularisation - Polynomial regression
Module – 5 Classification models
View Details- Logistic regression - Sigmoid curve - Similarities in linear and logistic regression
Module – 6 Intermediate level models
View Details- K nearest neighbors (KNN) - Support vector machines (SVM) - Naive bayes model - Decision trees
Module – 7 Ensemble modelling
View Details- Overview of ensemble modelling - Bagging v/s boosting - Random forest model - XGboost, Adaboost, Gradient boost
Module – 8 Clustering models
View Details- Kmeans clustering - Mean shift clustering - Other unsupervised ML models
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We learnt the concepts well and how to implement the algorithms in simple way.i like your teaching because you clearly explain the program line by line,so it was easy for us to understand the function of each line.
It was really a great experience of learning with cult skills. Completed the Curriculam as of industrial standards and the interactive sessions allowed me to grasp the topic to their depths. Got to explore lot of new things from this course that will help me in my future ventures with ML and Web Development.
Learn about SMM, SEO, PPC & other digital marketing vehicles with practical case studies and industrial strategies towards branding & marketing.
Learn and professionally manage software releases, version controls and deployment strategies with DevOps tools like Jenkins, GitLab etc...
The course is focused on practical exercises and projects to help students develop their coding skills and build their portfolio.
Gokulaselvan Loganathan
The classes attended were very much informative. The classes which I attended was on Machine Learning using Python. I learnt a lot there about the algorithms and various topics of the Machine Learning. The practical classes were very much interesting. Needed a more practical classes for each topics, which will help to understand at the level of best.