Are you a MIS/Reporting/BI professional trying to get into data science? Here is a comprehensive article listing down 11 steps you should follow!
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Introduction Making a transition into data science is a journey paved with obstacles and learning. There is so much to learn and implement! This …
Analytics Vidhya DataHack platform will now have more hackathons problems from past open as practice problem. You can now continue to learn on them
Who better to learn data science tips and tricks from than a Kaggle grandmaster? Join SRK as he provides invaluable advice for all data scientists!
A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
From Google’s BERT to Facebook’s PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!
Everything you wanted to know about digitial marketing and analytics is all here in this amazing and comprehensive guide. A must-read for all professionals.
Building a Random Forest from Scratch & Understanding Real-World Data Products (ML for Programmers – Part 3)
This article covers different industry applications where a machine learning model can be implemented and necessary steps to follow in building a model.
Learn how to use RapidMinder’s latest tool to simplify and automate data rpeparation and other machine learning tasks!
IBM Open Sources Comprehensive Python Toolkit for Detecting & Fighting Bias (30 Metrics, 9 Algorithms)
Overview IBM has open sourced a toolkit to deal with bias in datasets and algorithms The toolkit contains 30 fairness metrics and 9 state-of-the-art …
Feedzai AutoML is a platform for fighting fraud in double quick time that has automated feature engineering, model training & selection, among other things.