Stylumia Intern Challenge

Challenge 1:

Analyse the dataset of Titanic available on Kaggle and provide a notebook visualizing it

Libraries that I used to accomplish this challenge are :

• Pandas
• Numpy
• Matplotlib
• Seaborn

Challenge 2:

Visualize and predict the data of student-alcohol-consumption from Kaggle with atleast 3 Machine Mearning Models

Libraries used for data visualization are:

• Matplotlib
• Seaborn

Machine Learning classifiers used for prediction are:

• DecisionTreeClassifier
• RandomForestClassifier
• AdaBoostClassifier
• ExtraTreesClassifier
• KNeighborsClassifier
• XGBClassifier
• LogisticRegression
• LinearRegression