[unable to retrieve full-text content]Looking ahead to the FIFA World Cup that kicks off this month (14th June), we have created the official KDnuggets predictions.
Original Post: Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more
[unable to retrieve full-text content]Learn one of the top languages used in data science and machine learning with this new hands-on course by TDWI Online Learning.
Original Post: Hands-on: Intro to Python for Data Analysis
[unable to retrieve full-text content]The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case.
Original Post: Jupyter Notebook for Beginners: A Tutorial
[unable to retrieve full-text content]The Technically Speaking webcast series provides real-word case studies with key insights on overcoming the challenges in data collection, preparation, and analysis – find the webcast that fits your current challenge.
Original Post: Webcasts: Finding analytic solutions to real problems
[unable to retrieve full-text content]Seven common biases that influence how we understand, use, and interpret the world around us.
Original Post: How To Debug Your Approach To Data Analysis
[unable to retrieve full-text content]Get your productivity boosted with Hadley Wickham’s powerful R library, Tidyverse. It has all you need to start developing your own data analytics and data science workflows.
Original Post: Tidyverse, an opinionated Data Science Toolbox in R from Hadley Wickham
[unable to retrieve full-text content]Data and analysis of data have, in some form, been used to aid decision making since ancient times. So why, after all these centuries are data and analytics not more embedded in corporate decision making?
Original Post: Big Data or Big BS?
[unable to retrieve full-text content]I am writing this article to show you the basics of using Instagram in a programmatic way. You can benefit from this if you want to use it in a data analysis, computer vision, or any other cool project you can think of.
Original Post: A Guide to Instagramming with Python for Data Analysis
[unable to retrieve full-text content]In many cases, getting enough well-labelled training data is a huge hurdle for developing accurate prediction systems. Here is an innovative approach which uses SVM to get the most from training data.
Original Post: How to squeeze the most from your training data
[unable to retrieve full-text content]Why many BI & Analytics projects/solutions fail to deliver the business value? Let’s find out the answers to such questions.
Original Post: The BI & Data Analysis Conundrum: 8 Reasons Why Many Big Data Analytics Solutions Fail to Deliver Value