120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

archita1146

covid-19-tableau-project

Created dynamic visualization using tableau to track the real-time Confirmed and Death Cases By Location

credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

data-science-for-marketing-analytics

Achieve your marketing goals with the data analytics power of Python

olist-ecommerce-marketing-analytics

The objective of this project is to propose an analytical view of olist e-commerce in Brazil. For this we will first go through an exploratory data analysis using graphical tools to create self explanatory plots for better understanding what is behind braziian online purchasing. After that we will use RFM MOdelling and K means for Customer Segmentations to increase retention rate and segment them into homogeneous groups, understand the traits/behaviour of each group, and engage them with relevant targeted campaigns.

predicting-airbnb-listing-price-

Predicted Airbnb prices for the 4000 listings by using feature-engineering and stacking 7+ regression models and grid search to analyze the relationship between the prices and industry trends.

sql-queries

This involves all the possible queries from Leetcode, Hackerrank and other websites which may be asked in Interviews.

sql-queries-1

Some exercises around SQL queries

telecom-churn-prediction

Achieved 80% accuracy in predicting Churn Rate for the Telecom by using feature-engineering and stacking 6+ classification models with grid search