Python ML Methods to classify songs into genres.

Applications in SQL and Python.

NumPy & Pandas for data science, data analysis & business intelligence, with practical, hands-on Python projects

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 Science Projects from various platforms

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

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.

Recreate John Snow's famous map of the 1854 cholera outbreak in London.

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.