This project aim to answer what month has the highest availability and which month is the cheapest? what will affect the price of the room?

Predicting the Survival of Titanic Passengers

Data-Storytelling : Study on corporate social and environmental responsibility

Machine Learning Project for segmentation of mall customers

A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation

The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.

This Github repository focuses on conducting basic data analysis on 'Black Friday Sales' data. It provides valuable insights into various aspects like customer demographics, target audiences, popular products, purchasing patterns and potentially other interesting insights.

Uncovering more information about the company's sales patterns to derive insights and suggest marketing strategies for better segmentation using Python.

Popularity of engine fuel types (1982 - 2016)

Data visualization - qualitative & quantitative data (Airbnb listings for NY)

Complete Libraries on Numpy, Pandas, Matplotlib, Seaborn in Python for Machine Learning Author: K. VIGNESWAR SIDDU

Using Python libraries in a Jupyter Notebook, this project explores Diwali sales data, revealing valuable insights: Buyer Dynamics: Females drive sales, showcasing higher purchasing power than males. Age Impact: The 26-35 age group, primarily females, contributes significantly.Marital Influence: Married women exhibit strong purchasing potential.

Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.

A Pythonist & data analyst, currently busy learning Data Science, ML and Deep Learning techniques

This project focuses on analyzing Diwali sales data using Python's data manipulation and visualization libraries - pandas, matplotlib, and seaborn.

Análise Descritiva de Dados da PNAD 2015

Data visualization in Python with matplotlib and seaborn packages.

Analyzed behavior event data from Southern High School, focusing on race and gender disparities.

Pokemon Exploratory Data Analysis