Syllabus:-   Download

Key Points:

• Understand the fundamentals of Basic Statistics 

• Work with different types of data 

• How to plot different types of data 

• Calculate the measures of central tendency, asymmetry, and variability

• Calculate correlation and covariance 

• Distinguish and work with different types of distribution 

• Estimate confidence intervals Perform hypothesis testing 

• Make data-driven decisions Understand the mechanics of regression analysis

• Carry out regression analysis

• Use and understand dummy variables

• Understand the concepts needed for Data Science Python

Building your own project

This is a live training program at Incubation Centre IIT Patna where students will learn how to program the Machine Learning & Artificial Intelligence with Python using advanced techniques.

Key Learning Objectives

This course will bring you through the Data Science decision cycle, including data processing, building a model and representing results. The project milestones are: 

Data Processing– In this step, you will apply various data processing techniques to make raw data meaningful.

Model Building – You will leverage techniques such as regression and decision trees to build Machine Learning models that enable accurate and intelligent predictions. You may explore Python to develop your model. You will follow the complete model-building exercise from data split to test and validate data using the k-fold cross validation process.

Model Fine Tuning – You will apply various techniques to improve the accuracy of your model and select the champion model that provides the best accuracy.

Projects

• Image Recognition by ML
• Image Recognition by DL ( CNN )
• Hand-Written Text recognition
• Cancer Diagnosis
• House Pricing Prediction

Additional information