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Data Science Bundle (Tamil)

Language: Tamil

Validity Period: 180 days

₹3500 28.57% OFF

₹2500 including GST

Why this course?

Description

Short -Description:

This course is designed to provide a comprehensive understanding of the fundamentals of machine learning using these powerful tools pandas and NumPy and Data Science. It covers the basics of Numpy, Pandas, and Python programming, including data types, expressions, variables, and data structures. Participants will learn how to work with data using Pandas and Numpy, visualize data using Matplotlib and Seaborn, and apply machine learning algorithms using Scikit-Learn, NLTK, and Keras. The course also includes hands-on data science projects to apply the concepts and skills learned in the course. By the end of this course, participants will have a solid foundation in Python programming for data science and be able to use it to solve real-world problems.

For Related courses

After completing the course, automatically e-certificate will be generated for the participants.

Software / Tools:  Google collab: https://colab.research.google.com

For More Projects: 

NLP Projects (19) - https://www.pantechelearning.com/students-project/nlp-projects/

Python Projects (132) - https://www.pantechelearning.com/students-project/python-projects/

For More Products:

Raspberry pi - https://www.pantechelearning.com/diy-kits-sensors/raspberry-pi-kits-accessories/ 

For More Courses (4):  Pantech eLearning offers flexible eLearning courses online

Data-Analytics-using-Python - https://lms.pantechelearning.com/courses/Data-Analytics-using-Python-1675407537060-63dcb0b1e4b01adb1339314b

Deep-Learning-using-PyTorch  - https://lms.pantechelearning.com/courses/Deep-Learning-using-PyTorch-1675409854096-63dcb9bee4b037e33c9b2f9b

Pantech eLearning offers flexible eLearning courses online

Package Contents

Python for Data Science(Tamil)
SANKARA VENKAT RAM V
Data Analysis Pandas & NumPy (Tamil)
SANKARA VENKAT RAM V
Python Programming Basic (Tamil)
Philip Bedit

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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