shubhsmore/ats-infotech-ml-projects

ats-infotech-ML-projects

Project 1 : Prediction of Survival of Titanic Passenger

Here we'll use Logistic Regression to predict the survival rate of passenger. Logistic regression is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous, which means there would be only two possible classes. We have titanic dataset that contains,

• pclass: Passenger class (1 = 1st; 2 = 2nd; 3 = 3rd)
• survival: A Boolean indicating whether the passenger survived or not (0 = No; 1 = Yes); this is our target
• name: A field rich in information as it contains title and family names
• sex: male/female
• age: Age, asignificant portion of values aremissing
• sibsp: Number of siblings/spouses aboard
• parch: Number of parents/children aboard
• ticket: Ticket number.
• fare: Passenger fare (British Pound).
• cabin: Doesthe location of the cabin influence chances of survival?
• embarked: Port of embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)

Project 2 : Used Car Price Prediction