In this month's set of hand-picked datasets of the week, you can familiarize yourself with techniques for fraud detection using a simulated mobile transaction dataset, learn how researchers use data in the deep space hunt for exoplanets, and more. What I have learned is that with the help of simulation to generate synthetic datasets we can study a specific fraud phenomenon and more important measure the impact of different controls that we can implement before implementing them. So I decided to download the data for all the seasons of IPL (total 9), convert to csv format and started looking at the key insights. Comparison of interest from Google Trends and Twitter mentions by candidate in the kernel "First Round Prediction."
Their passions range from ending illegal logging, diagnosing malaria in rural Uganda, translating Japanese manga, reducing farmer suicides in India via better loans, making Nigerian fashion recommendations, monitoring patients with Parkinson's disease, and more. Our group of selected fellows for Deep Learning Part 2 includes people from Nigeria, Ivory Coast, South Africa, Pakistan, Bangladesh, India, Singapore, Israel, Canada, Spain, Germany, France, Poland, Russia, and Turkey. After being selected as our first international fellow, and completing part 1 of our course, language researcher Samar Haider of Pakistan collected the largest dataset ever of his native language of Urdu. Her goal is to rate the legitimacy of online content via a deep learning model by integrating sentiment analysis of the comments, legitimacy of news source, and the content itself, trained on labeled articles with a "predetermined" score.
The government has approved an advisory which will ask matrimonial websites to authenticate its users through legally verifiable identity and address proofs, and keep their IP address records. The new rules will require these matrimonial websites to "confirm the user's intent to enter in to matrimonial alliance" and that "the user information is correct". The idea for regulating matrimonial websites was proposed last year, amidst complaints of cyber stalking, fake profiles and cheating. Like online dating platforms, these websites use data like age, location and profession to match users, but include traditional factors like caste and religion, which are vital to arranged marriages in India.