eljazary Goto Github PK

-identify_customer_segments

analyze-a-b-test-results-and-logitic-regression-

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

boston-airbnb-data

Boston AirBNB homes can be used to understand how much AirBNB homes are earning in certain time frames and areas.

capstone_project_customer_segmentation-

data-wrangler-from-twitter-scrapping-

Data Wrangling Project

disaster_response_pipelines

eljazary

Config files for my GitHub profile.

finding_doner_for_charity_ml-_by_supervised-_learning-

CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. After nearly 32,000 letters were sent to people in the community, CharityML determined that every donation they received came from someone that was making more than $50,000 annually. To expand their potential donor base, CharityML has decided to send letters to residents of California, but to only those most likely to donate to the charity. With nearly 15 million working Californians, CharityML has brought you on board to help build an algorithm to best identify potential donors and reduce overhead cost of sending mail. Your goal will be evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

recommendations_with_ibm

stackoverflow

Findings from Stackoverflow 2017

starbucks_capstone_challenge

twitter-web-scraper-python

Python Web Scraper Script to collect data from twitter account i.e tweets, likes count, comments count etc.

visulization-udacity-advanced-data-analysis

Using Visualization to explore and explain data