Exploratory Data Analysis for Kaggle's Kiva Crowdfunding Organisation's Dataset.

A collection of visuals exploring historical US weather data re wind events in CST/PST timezones and lake effect snow.

Python, Scikit-learn, Seaborn, Decision Tree regression

This repository contains data analysis project on Investigating-Fandigo-Movie-Review

Visualizing the IMDB and other movie related datasets

Predicting returns on income

Machine Learning installs and model selections

Online clothing business and you would like to develop a new app (or in-store) feature in which customers would enter their own height and weight and the system would predict what T-shirt size should they wear. Features are height and weight and output is either L (Large) or S (Small).

Data Analysis and Visualization is performed on Emergency - 911 calls. Dataset used in this project : https://www.kaggle.com/mchirico/montcoalert

This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.

This project is based on wrangling data generated by Twitter handle @WeRateDogs which is obtained from multiple sources and is in different formats. This data is checked for different data quality and tidiness issues. It is further transformed and merged into a single acceptable file in order to gain insights and visualizations.

Bay Wheels bike ride data analysis and visualization using python3, matplotlib,seaborn

This repository consists of code written by Ha Phuong Le for ASCENT 10 Project: Aircraft Technology Modeling and Assessment. The project is a collaboration effort between the Federal Aviation Administration (FAA), NASA, Georgia Tech, and Purdue. More details on the project can be found here: https://ascent.aero/project/aircraft-technology-modeli…

This website contains the condensed version of the many projects available on my GitHub page. These projects use the Python, R, and various packages. Below are some of the findings of the projects. If you would like to find out more about them, please visit the link to view the code and more background regarding the dataset.

Exploratory Data Analysis of Iris Dataset

Basic introduction to play in ML

African financial crisis data analysis

Scraper program that searches youtube trending videos categories