Predicting Titanic Survivals using Logistic Regression
Learn how to analyze and visualize data using Import Libraries, Decision Tree Classifiers, and Logistic Regression
What you’ll learn
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You will have good knowledge about the predictive modeling in python, linear regression, logistic regression
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Learn about Import Libraries, Decision Tree Classifiers, Logistic Regression, Load libraries, bar plot
Requirements
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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.
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Along with the above-mentioned knowledge, one must know to code in Python.
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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.
