Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Data Science project using decision tree classifier

Ford GoBike System Data Exploration and Findings Communication: This document explores a dataset with information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area in 2019

This repository contains all of the code, projects and reports that I wrote as I pursued my Udacity - Data Analyst NanoDegree.

The DAND Program is a course that helps to learn how to wangle, analyze and visualize data using Python and its libraries.

We will analyze a dataset provided by an e-commerce marketplace called [Olist](https://www.olist.com) to answer the CEO's question: Should Olist remove underperforming sellers from its marketplace? How to increase customer satisfaction (so as to increase profit margin) while maintaining a healthy order volume?

The dataset I wrangled (and analysed and visualized) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.

This repository contains the final project of the IBM Data Science course.

Udacity project: gathering and cleaning data from the tweet archive of a Twitter user that rates dogs and analyzing to derive insights

Analyzing TMDb movie dataset and communicate findings about it.

Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.

A case study exploring the Top 50 Amazon Bestsellers from 2009-2019.

Perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that convey findings.

Azure Databricks notebook sample to connect Blob Storage of Azure Log Analytics

Exploratory and explanatory data visualization of FordGoBike System data

Data analysis of the TMBD data set to generate insights and find trends in the data

User friendly web application for convenient review of data analysis results built using flask

Assigments and project for SOFT8032 Programming for Data Analytics 26756

League-specific data analysis on ESPN fantasy football leagues, notably Auction Draft and Waiver Wire spending vs. team-specific player scoring