Recap of Data Science News for August

Recap of Data Science News for August

News on Data Science– August 2016

Data Science News for August

TaxBrain is responsible for the Federal Govt. adopting open Data Science Models. August 10, 2016.

TaxBrain was launched in April 2016, by Open Source Policy Center (OPSC), a Washington DC based think tank. There is a huge need for remodelling the statistical models used by decision makers in the white house. Most of these models were SAS band Fortran based, which was proprietary. Now OPSC is coming up with more open models which will be primarily written in Python.


Data Science News

The Data Science war is on: Kaggle vs. Watson. August 15, 2016.

There is a shortage of data science talent. Companies are looking high and low for qualified data scientists but they are falling way short of the demand. This problem is being addressed somewhat by Kaggle which allows you to outsource the work to different data scientists across the work. IBM believes in a whole other level of data science. They come on strong with Watson - a machine learning algorithmic computer which allows you to become your own data scientist.


Data Science Education is incomplete without curiosity for technology and business sense. August 22, 2016.

A data science education is simply learning how to do data analysis with programming languages. But this is not what data science as a whole is. Data Science as a whole means encompassing all the skills that a mere data analyst would not have. It means looking at data and being curious enough to keep sifting through it until you can solve the business queries. This is one of the reasons why data scientists are in huge demand and universities are fast churning out data science programs to deal with this demand.


How data science fights modern insider threats? August 25, 2016. TechCrunch

With companies using more online services and increasingly generating data than before, it is difficult to find insider threats. As insider threats become increasingly difficult to detect and prevent , data science is extensively  proving its effectiveness in the realm of cybersecurity. Data Science helps find the needle in the haystack and eases the process of detecting insider threats before they cause damage.

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Why physicists are a good fit for data science jobs? August 31, 2016. SearchBusinessAnalytics

Data Scientists are in great demand and in short supply, academic researchers and physicists from hard science disciplines are finding good opportunities on data science teams in leading various big data analytics projects. As the demand for data scientists is rising, the supply is not keeping pace due to the scarcity of data scientist with computer science and business disciplines. Thus, physicist and researchers from hard sciences are a good fit for the data science.

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Data Science Training

Relevant Projects

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.