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Advanced Predictive Modelling By Spotle.ai

This Spotle.ai masterclass by industry experts is to help you build a rewarding career in data science.

  Spotle Learn

   Data Science and AI ML, Data Science, Data Modeling, Development

  Language - English

   Published on 05/2022

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Description

Data science and Python have become key industry drivers in the global job and opportunity market. This course with mix of lectures from industry experts and Ivy League academics will help students, recent graduates and young professionals learn predictive modelling and its applications in business scenarios using Python programming language. 

What is predictive modelling?

Predictive modeling is a process that uses statistics, data mining and probability to forecast the future outcomes. Such as, let’s say, an EdTech company is trying to assess the market. They have a question. The market condition that they predict will decide their future investment area. Their question is, is the future of learning going to be self-paced online? As we apply predictive modelling techniques on the available data from the market the predictive outcome to this question is ‘Yes. The future of learning is going to be self-paced online’. Now the future will have the actual outcome. But the EdTech company will invest in this area as per this predictive outcome.

What Will I Get ?

  • Detailed Regression Analysis and its Application, Model Complexity and Bias-Variance trade-off, Variable selection, Multicollinearity, Measures of Accuracy.
  • Detailed Logistic Regression and its Application, Likelihood Estimation, Measure of Accuracy.
  • Ridge Regression
  • Detailed Decision Tree and lots of hands-on coding sessions.
  • Detailed Random Forest and lots of hands-on coding sessions.
  • Introduction To Time Series Analysis.
  • Generalized Linear Model Or GLM

Requirements

  • This course takes you through to the advanced level step-by-step from scratch.
  • Basic knowledge of statistics and Python programming language will come handy.
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