Name of the course: Machine Learning using python
Objective: The main objective of this course is to train students statistical and machine learning techniques using Python programming languageLearning outcomes:
1. Students will have an idea about various libraries of python which are used in machine learning
2. Students will be able to visualize data using python
3. Students will be learning the statistical distributions using python and be able to generate random numbers
4. Students will be expected to have a good programming skill in python
5. Students will be able to understand linear regression model in machine learning
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- Teacher: PANAM SRAVANI
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- Teacher: SATYA SWAROOP ROY MEDAPATI
- Teacher: Dr PAYAL PATTNAYAK
- Teacher: RAJANI THOMAS
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- Teacher: Dr KANTHI SREE DADALA
- Teacher: ANUREETHA DAS
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- Teacher: Dr. KUSUMA REDDY C
- Teacher: Dr KANTHI SREE DADALA
- Teacher: ANUREETHA DAS
- Teacher: MICHAEL PREETHAM JAKKULA
- Teacher: JOJO MATHEW GEORGE
- Teacher: SATYA SWAROOP ROY MEDAPATI
- Teacher: Dr PAYAL PATTNAYAK
- Teacher: RAJANI THOMAS
Name of the course: Fundamentals of Data Science and Machine Learning
Objective: Data science and machine learning
are already becoming integral to the financial industry and they promise to be
even more so in the future. The main objective of this course is to provide
knowledge in the field of Data science and machine learning for the
undergraduate students.
Learning outcomes:
1. Students will have an idea about the overview
of data science: Real life applications
2. Students will be able to have an
understanding of the internal parts of a Computer.
3. Students will be learning about the CRISP-DM
process.
4. Students will have a good
understanding of the fundamental issues and challenges in Machine learning and
modelling skills.
5. Students will have thorough knowledge
in data visualisation.
6. Students will expertise in Data
Cleaning.
- Teacher: PANAM SRAVANI
- Teacher: JERUSHA SHALINI VASKA