Kaggle Online Challenge

This repository is collection of all Kaggle competitions, i have worked upon. Data science and machine learning challenges made on Kaggle or Local machine using Python Programming language.

The list of project's folder description given below;

1. Starter Project The main objective of these projects to get hands on different machine learning techniques. The folder includes different types of basic machine learning project like

1. Titanic survivals
2. Seattle rain prediction,
3. IRIS flower classification.

2.Taxi Fare Prediction The objective of the project is to predict the fare amount (inclusive of tolls) for a taxi ride in New York City given the pickup and dropoff locations.

3.Credit Card Fraud The objective of the project is to identify fraudulent credit card transactions.The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions