Data Science Level 3

Categories: Data Science
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About Course

Learn the Hands-On implementation of various Statistical Models using Data Science

This is a level up on the Data Science journey from Level 2.

In this course you will learn to omplement Statistical model to get you ready for Job Interviews! Including:

  • Multiple Linear Regression
  • Ridge Reression
  • Lasso Regression
  • Polynomial Regression
  • Non-linear regression
  • Panel Data Regression
  • Logistic regression
  • Decision Tree
  • SVM
  • Random Forest
  • Gradient Boosting
  • K-Means
  • KNN
  • Affinity Propagation
  • Hands-On Instructor-led tutorial
  • and much, much more!

This is the Third level of Data Science course, will help make you ready to implement your own Statistical Model in Data Science project for academics and for professionals to crack Job Interview to take the first step to switch you career path onto Data Science. Our Instructor-Led classes will teach you to every section and tasks, modeled after real world requirement and situations.

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What Will You Learn?

  • Hands-on implementation of various of Regressionj Models
  • Different Models on Supervised and Un-Supervised Learning
  • Hands-On implementation on Linear and Non-Linear Classification Models
  • Develop multiple Statistical Models on your own

Course Content

SUPERVISED Regression Algorithm

  • Multiple Linear Regression
    00:00
  • Ridge Regression
    00:00
  • Lasso Regression
    00:00
  • Polynomial Regression
    00:00
  • Non-linear Regression
    00:00
  • Panel Data Regression
    00:00

SUPERVISED LINEAR CLASSIFICATION

SUPERVISED NON LINEAR CLASSIFICATION

SUPERVISED NON LINEAR ENSUMBLE CLASSIFICATION BAGGING

UNSUPERVISED – CLUSTERING

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