I will be describing some of the main reasons Data Scientists need to know data visualization techniques below, rather that be from the exploring of data to the explanation of model results. Please continue reading if you would like to know the top four reasons why a Data Scientist should know how to visualize.
Box and Whisker Plot is a graphical representation that can be used to understand the measures of spread, variability, skewness and the existence of outliers in quantitative(numerical) data. Generally it is also known as the graphical representation of the 5-point summary .(Minimum,Maximum,median,25th percentile & 75th percentile)
In this episode will see, How to solve dlib installation errors on python 3.7 and 3.8 version.
Andrew Ng is the best teacher I've ever seen. These two materials from Coursera changed my life: his machine learning course, and the deep learning specialization. Here's the differences between the 2.
In this tutorial, we'll learn How to Generate Time Series Considering Holidays of Any Country in Pandas. In time-series data analysis, generating dates could be necessary on many occasions in real life. Sometimes we have data but time is not recorded, sometimes we may have to use one countries data for another country’s research or last year’s data this year. The holidays will be different this year than last or this country than another country. This article shows:
In this tutorial, we'll learn 4 Rarely-Used Yet Very Useful Pandas Tricks. Not everyone knows.
In this tutorial, we'll learn 3 Pandas Functions That Will Make Your Life Easier. A practical guide with worked through examples.
This video is not about a new technology in itself. Instead, it is about a new and exciting application of GANs. Indeed, you saw the title, and it wasn't clickbait. This AI can transfer your hair to see how it would look like before committing to the change.
In a single take, I talk about data science, machine learning, big data, deep learning, neural networks, spark, supervised vs. unsupervised learning... the list goes on.
Predicting The Area Burned By Forest Fire using BootML
Predicting Housing Pricing in California using AzureML
What is classification? Classification is one of two types of supervised machine learning tasks (i.e. tasks where we have a labeled dataset) with the other being regression.
End to End Project - Artificial Intelligence & Machine Learning for Managers
Speed-up your Pandas Workflow by changing a single line of code. Use Modin to scale your data explorations and visualization.
Machine Learning Types - Artificial Intelligence & Machine Learning for Managers
5 Use Cases of Pandas loc and iloc Methods. Make them more useful.
Machine Learning Process - Approach - Artificial Intelligence & Machine Learning for Managers
Machine Learning Process - Representing Data
Underpinnings of ML
MLxtend library (Machine Learning extensions) has many interesting functions for everyday data analysis and machine learning tasks. Although there are many machine learning libraries available for Python such as scikit-learn, TensorFlow, Keras, PyTorch, etc, however, MLxtend offers additional functionalities and can be a valuable addition to your data science toolbox.