Rajat4445
Aspiring Data Scientist and Analyst, with good analyzing and interpretation of the data. An enthusiastic and quick learner with excellent communication skills.
Analytics VidhyaSrinagar Garhwal, Uttarakhand
Pinned Repositories
Accenture-Virtual-Internship
Ankit-Bansal-SQL-
All questions and solutions for SQL problems by Ankit Bansal for my interview prep
Bike-Sharing-Demand-Prediction
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.
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.
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.
Web-Scraping-Guide-BeautifulSoup-
This is an introductory guide to performing Web Scraping using the BeautifulSoup library in Python.
Rajat4445's Repositories
Rajat4445/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.
Rajat4445/Bike-Sharing-Demand-Prediction
Rajat4445/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.
Rajat4445/ML-Roadmap-for-2022
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
Rajat4445/Netflix-Movies-and-Tv-Shows-Clustering
Rajat4445/Rajat4445
Rajat4445/SQL-for-Data-Science
The repository contains all the SQL queries which were learnt during the course.
Rajat4445/udacity_ABTesting
Project work for Udacity's AB Testing Course