Data Science Supervised Learning Tasks - Ayaan Danish

These are some common data science tasks that I have completed for practice

Task Details

1. Titanic Survivors Prediction

Used the dataset of titanic passengers on Kaggle to create a classsification model to predict which passengers would have survived, based on a variety of features such as their age, gender, ticket class, cabin, etc.

2. IMDb Movie Rating Prediction

Used the dataset of IMDb Movie Ratings on Kaggle to create a regression model to predict the ratings of a movie, based on its length, genre, director, and various other features.

3. Iris Flower Classification

Used the popoular Iris Dataset to create a model that can classify the type of flower, based on its physical features.

4. Sales Prediction

Used the Sales and Advertising dataset on Kaggle to create a regression model that can predict the money made in sales by a given product, given the money spent on advertising through various different channels such as TV and Radio.

5. Credit Card Fraud Detection

Used the credit card dataset on Kaggle to create a classification model that detect any fraudulent credit card transactions, given a variety of features about the transaction.