Dataset description: The dataset contained information of various passengers who were onboard during the titanic tragedy like passenger_id,gender ,ticket_price etc. and the numbers of survivors based on this data had to be predicted.
Techniques used : libraries - Numpy,Pandas,Matplotlib and Seaborn for visualizing data using various plots , histograms ,heatmaps etc ,
Preprocessing and algorithms :OneHotEncoding ,LogisticRegression algorithm ,RandomForestClassifier algorithm,SVM
Result : Created model that made prediction with 82% accuracy.