[100% Off UDEMY Coupon] – House Price Prediction using Linear Regression and Python

House Price Prediction using Linear Regression and Python

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House Price Prediction using Linear Regression and Python

You will be able to think with a predictive mindset and understand well the basics of the techniques used in prediction

What you’ll learn

  • Our course ensures that you will be able to think with a predictive mindset and understand well the basics of the techniques used in prediction.

  • Critical thinking is very important to validate models and interpret the results. Hence, our course material emphasizes on hardwiring this similar kind of thinking ability. You will have good knowledge about the predictive modeling in python, linear regression

Requirements

  • To get started with Predictive Modelling with Python a solid foundation in statistics is much appreciated. It takes a good amount of understanding to interpret those numbers to understand whether the numbers are adding up or not.

  • Along with the above-mentioned knowledge, one must know to code in Python.

  • Knowing SQL also acts as a complementary skillset.

  • Even if someone is not well equipped with the above-mentioned skill, it should not act as a hindrance as everything is possible with an honest effort and strong will.

Who this course is for:

  • This Predictive Modeling with Python Course can be taken up by anyone who shares a decent amount of interest in this field. The earlier someone starts the further they can reach. In the case of students who are pursuing a course in statistics, or computer science graduates it is a very good opportunity to direct your career in that direction. As this is a much demand skill every IT professional is looking for a good switch and entering the domain of predictive analysis.
  • After successfully having hands-on with Predictive Analysis you get open up career opportunities within job roles like that of a Data Analyst, Data Scientist, Business Analyst, Market Research Analyst, Quality Engineer, Solution Architect, Programmer Analyst, Statistical Analyst, Statistician, etc.

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