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Basics of Data Science and Machine Learning

Course Description

The Data Science with Machine Learning course is designed to equip students with the skills and knowledge required to analyze and interpret complex data using advanced statistical and machine-learning techniques. This course covers the data science workflow from data acquisition and pre-processing to model selection, optimization, and deployment.

The course begins with an overview of the fundamental concepts and techniques used in data science, including data types, data structures, and statistical analysis. 

Throughout the course, students will work on several hands-on projects that involve solving real-world data science problems. By the end of the course, students will have gained the skills and knowledge required to tackle a wide range of data science challenges and make data-driven decisions using advanced statistical and machine learning techniques.

What you will learn:-

Statistic
Linear Reggration
Logistic Reggration
SVM
KNN
Error Mertix
K-Means
And Practical implications of them.

ENROLL NOW AND START YOUR JOURNEY !!

 

 

Course Curriculum

What do we offer

Lifetime Access

Get life long access to all the courses with unlimited learning.

Structured learning

Our curriculum is designed by experts to make sure you get the best learning experience.

Community & Networking

Interact and network with like-minded folks from various backgrounds in exclusive chat groups.

Learn with the best

Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.

Practice tests

With the quizzes and live tests practice what you learned, and track your class performance.

Get certified

Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.

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