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Time Series: the Quintillion Business Applications You Forgot About

Time Series: the Quintillion Business Applications You Forgot About

Time Series Forecasting is a much humbler yet effective technique that's been quietly building up almost a quintillion business applications.While the world is trying to force deep learning onto every problem imaginable, big or small, there’s a more effective technique to help improve busines...

Time Series in Python Tutorials

Time Series in Python Tutorials

Learn how to evaluate time series model predictions, build an ARIMA model, and evaluate predictions using mean absolute error. If you've read any of my previous posts, you'll know I don't call myself a data scientist. I would call myself a data enthusiast. Being in marketing, I make ...

High Dimensional Data: Breaking the Curse of Dimensionality with Python

High Dimensional Data: Breaking the Curse of Dimensionality with Python

Dimensionality reduction is an absolutely necessary skill for every data scientist to have. Break the curse of dimensionality with Python. What's common in most of us is that we are used to seeing and interpreting things in two or three dimensions to the extent that the thought of thinkin...

Attending the Instructional Design Summit at the 2019 Open edX Conference

Attending the Instructional Design Summit at the 2019 Open edX Conference

The 2019 Open edX Conference included one of the best seminars/workshops for content creators: The Instructional Design Summit.When your Uber driver drops you off at the back entrance, you don't really know what to expect. You see everything in the reverse order you're supposed too, but you get th...

Is it necessary to go to a university to become a Data Scientist?

Is it necessary to go to a university to become a Data Scientist?

The number of applications for programs in Data Science has increased. With various online resources, is it necessary to go to a university for Data Science?  Data Science is one of the fastest-growing fields, and the data shows this trend will continue into the near futu...

Unleash the potential of Recommender Systems

Unleash the potential of Recommender Systems

Recommender systems are one of the most popular algorithms in data science today. Learn how to build a simple movie recommender system. Recommender systems possess immense capability in various sectors ranging from entertainment to e-commerce. Recommender Systems have proven to be instrum...

Top Python Packages for Data Science and How to Best Use Them

Top Python Packages for Data Science and How to Best Use Them

Finding the top python packages and libraries that aren't only popular, but get the job done isn't easy. Here's a list to help you out.Out of all the Python scientific libraries and packages available, which ones are not only popular but the most useful in getting the job done? To help you filter...

Supercharge your Python Plots with Zero Extra Code

Supercharge your Python Plots with Zero Extra Code

Graphs play a very important role in the data science workflow. Learn how to create dynamic professional-looking plots with Plotly.py.We use plots to understand the distribution and nature of variables in the data and use visualizations to describe our findings in reports or presentation...

R vs Python: Which is better for Data Science?

R vs Python: Which is better for Data Science?

R and Python remain the most popular data science programming languages. But which of these languages is better?As data science becomes more and more applicable across every industry sector, you might wonder which programming language is best for implementing your models and analysis. If you atten...

US-AI vs Chin-AI

US-AI vs Chin-AI

What does the race for AI mean for data science worldwide? Why is it getting a lot of attention these days?Although it may still be recovering from the effects of the government shutdown, data science has received a lot of positive attention from the United States Government. Two major recent...