Machine Learning & AI Foundations: Movies Recommendations Part 2

Recommendation systems are the important part of almost every modern consumer websites like Amazon and Netflix. The systems help drive customer interaction and sales by helping customers discover products and services they might not ever find themselves.   In this project, we use machine learning to solve recommendation problems. What you learn can then be…

Machine Learning & AI Foundations: Movies Recommendations Part 1

Have you ever wondering how Netflix know what movies you probably like? Or if you watch Stranger Things that Netflix is likely to suggest to you is the ET: The Extra-Terrestrial. Basic on the customer viewing behavior data, we can predict users discover the exact content they want to watch. Similar products method is one of the…

Presidential Debate and Text Mining

Democratic nominee Hillary Clinton and Republican counterpart Donald Trump faced off in the first presidential debate of 2016 at Hofstra University in Hempstead, New York. Right from the start, the two dived directly into attacks. They engaged in testy exchanges over trade, the U.S. economy, race and foreign policy. The purpose of this project is…

Data Quality : Bank Consumer Database

Discovering whether data are of acceptable quality is a measurement task and not a very easy one. In this data quality project, I used excel and python to deal with Consumer Complaint Database, complaints about financial products and services.Data quality is important because, without high-quality data, you cannot understand or stay in contact with your customers.…

Community Health Status Indicators (CHSI)

Community Health Status Indicators (CHSI) to combat obesity, heart disease, and cancer are major components of the Community Health Data Initiative. This dataset provides key health indicators for local communities and encourages dialogue about actions that can be taken to improve community health (e.g., obesity, heart disease, cancer). The CHSI report and dataset was designed…

Social Media Analytics with Python

We use  Twitter, Facebook, and Google social media to share our life experiences, initiate ideas and provide opinions in a free and open way. Businesses are hence interested in understanding what people think and say about their products and services. They are augmenting their business applications to extract, understand and analyze social media data about…