Data Science Projects from various platforms

A machine learning model to predict if a credit card application will get approved.

Applying machine learning methods in Python to classify songs into genres (Rock or rap).

Exploratory analysis of the market capitalization of different cryptocurrencies in order to better understand the growth and impact of Bitcoin and other cryptocurrencies

Built a machine learning model to predict if a credit card application will get approved.

DATA MANIPULATION | DATA VISUALIZATION | IMPORTING & CLEANING DATA | Whether or not you like football, the Super Bowl is a spectacle. There's drama in the form of blowouts, comebacks, and controversy in the games themselves. There are the ridiculously expensive ads, some hilarious, others gut-wrenching, thought-provoking, and weird. The half-tim…

In this project, analyzed data to see how Disney movies have changed in popularity since its first movie release. Performed hypothesis testing to see what aspects of a movie contribute to its success.

Analyzing TV Data for The Office and Super Bowl to conclude various results about the two

In this project, a comprehensive analysis of the Android application market was carried out by comparing more than ten thousand applications on Google Play in different categories. Insights were sought from the data to design strategies that drive growth and retention. Data for this project was pulled from the Google Play website.

Uses data manipulation and visualization to explore the television broadcast datasets using python3

Analyzing the medical data Dr.Semmelweis collected.

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries.

Jupyter Notebook on breath alcohol test data from Ames, Iowa, USA.

DataCamp Project on finding out about the development of the Linux operating system by exploring its Git repository history.

This program will be used to collect, clean, and aggregate sample data obtained through a Fixed Gas GC machine.

Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, I will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning.

DataCamp SQL Project

Dive into global terrorism's web with 'Global_Terrorism_Trends_Analysis.' Leveraging the GTD, our project delves into trends, tactics, and impacts worldwide. Uncover valuable insights to understand this complex issue.