Rajat Bahuguna's repositories
Loan-Default-Prediction
Client is a financial institution which provides loan (cash or revolving) to the customers. Customers can be a institution/business or an individual. With this Project, client wanted to understand the AI driven customer behaviour who are likely to be default and may skip the EMI payment.
NYC-Taxi-Trip-Prediction
In this project, we would build a Machine Learning Model that predicts the total ride duration of taxi trips in New York City.
Web-Scraping-Guide-BeautifulSoup-
This is an introductory guide to performing Web Scraping using the BeautifulSoup library in Python.
Ankit-Bansal-SQL-
All questions and solutions for SQL problems by Ankit Bansal for my interview prep
Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
Credit-Card-Data-Analysis
Exploratory Data Analysis on Happy bank Customer Data to identify patterns and gain insights, between the customer details and services offered by the bank. It would help the bank in cross selling the credit card to the existing customers.
Global-Terrorism-Dataset-EDA-
Conducted EDA on Global Terrorism data after thorough data cleaning. Leveraged codebook information for column descriptions. Explored trends, locations, and attack characteristics. Delivered insights from descriptive statistics and data visualizations.
Hackerrank-Python
In this repository, we have solved some of the questions present on Hackerrank for Python.
Rotten-Tomatoes-Web-Scraping-
Rotten Tomatoes is a popular movie review website and suggests movies in different categories. We want the information such as Movie title, year of release, rating, cast and other details of the top 140 action movies to watch now.
Steam-Project
Steam is the ultimate destination for playing, discussing, and creating games. We want to scrape the details of "New and Trending" games. For every game, find out the number of positive reviews, date of release, name of developer and publisher. Find out the system requirements for each game. Scrape reviews for each game.
interview-question-data-science-
Interview Important Questions
KNN-Classification-
Understanding the fundamentals of Supervised ML Algorithm, K-Nearest Neighbors (KNN) for a classification problem and using Hyperparameter Tuning to achieve the best performance.
ML-Practice-
This repository is dedicated to practice different Machine Learning algorithms on different datasets.
Practice-Python
Important Python Questions
SQL-Hackerrank
In this repository, we have solved all the questions present on Hackerrank for SQL (MySQL)
Telco-Customer-Churn
This project analyses customer churn data for a telecom company in California, covering 7043 customers in Q3. It identifies reasons for churn and uses Tableau to visualize insights and patterns.