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Predicting Titanic Survivals using Logistic Regression
What you’ll learn
You will have good knowledge about the predictive modeling in python, linear regression, logistic regression
Learn about Import Libraries, Decision Tree Classifiers, Logistic Regression, Load libraries, bar plot
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.
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:
- Data Analyst, Data Scientist, Business Analyst, Market Research Analyst, Quality Engineer, Solution Architect, Programmer Analyst, Statistical Analyst, Statistician
- 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.