Very easy The goal of this project was to train a linear regression model to predict the price of houses based on numerous features like flat area, no of floors, condition of house, etc. Initially, I looked for the target variable for any missing values and outliers and removed them from the dataset. I used median to fill missing values in the numerical features of dataset. In zipcode attribute, I chose the “most frequent values” for imputing missing values. I performed other data transformations for categorical variables like “date house was sold”, “condition of house”. After this, I tried to analyze the effect of attributes on target variable using bar plots. It became
Otras opiniones sobre las entrevistas para el puesto de Software Engineer en ABC
Acudí a una entrevista en ABC (Indi, Uttar Pradesh)
Entrevista
The interview process consisted of an initial screening round followed by technical and HR interviews focused on problem-solving, communication, and role-specific skills.Overall, the process was well-structured, professional, and provided clear insights into the responsibilities and expectations of the role.
Preguntas de entrevista [1]
Pregunta 1
They were mainly focused on problem-solving ability, communication, and practical understanding.
very good they aligned the remote interview in ms teams and interview was very easy and then they talked about there company and working in mostly AI related projects and services
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