Udacity - DAND - Term 2 - Project 4

In this data analysis project, I have explored the Prosper dataset and used Tableau to create my visualizations. Prosper is a peer-to-peer platform that lends money and its goal is to connect people who need money with those people who have the money to invest.

This is the 6th project in my data analysis nanodegree and it focuses on prforming exploratory data analysis ( or EDA for short ) in R

This project was the last project of my data analyst nanodegree : Creating a data story with Tableau

Report emphasizing on exploratory and explanatory data visualization techniques used for analyzing FordGoBike bike-sharing system data

A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.

Explanatory model for prices of Hybrid Electric Vehicles

Auto_MPG (Linear Regression)

Basics of ML libraries Explained through Jupyter Notebooks

Stock Price Prediction of APPLE Using Python

This is an implementation for the famous Kaggle competition "House Prices" using EDA tools, feature engineering, handling outliers and missing data and finally machine learning linear models and regularization.

2017 Travelers Case Competition Minnesconsin Insurance Company Modeling Problem.

performed end-to-end reproducible data analyzes in the IE48A - Essentials of Data Analysis course taught at Boğaziçi University

This repository was just for my practice. Here, I have performed explanatory data analysis on the famous titanic dataset from kaggle.

This repository contains my learning path of python for data-science essential training(part-2). Here, I have included chapter-wise topics and my practice problems. Also, feel free to checkout for better understanding.

The objective of this work is to investigate factors affecting borrower rate and loan amount.

🏘 Ames house dataset modelled and explained

🍷 Quality analysis of red and white variants of the Portuguese "Vinho Verde" wine