Machine Learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance on a specific task. Machine learning algorithms build a mathematical model of sample data...

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Data Scientists Need To Know Visualization. Here’s Why.

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.

THE MONOLITH OF DATA

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)

Fix dlib install errors forPython 3.8 | Install dlib for Python 3.8 | Machine Learning

In this episode will see, How to solve dlib installation errors on python 3.7 and 3.8 version.

Machine Learning vs Deep Learning (Coursera)

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.

How to Generate Time Series Considering Holidays of Any Country in Pandas

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:

4 Rarely-Used Yet Very Useful Pandas Tricks

In this tutorial, we'll learn 4 Rarely-Used Yet Very Useful Pandas Tricks. Not everyone knows.

3 Pandas Functions That Will Make Your Life Easier

In this tutorial, we'll learn 3 Pandas Functions That Will Make Your Life Easier. A practical guide with worked through examples.

Barbershop: Try Different Hairstyles and Hair Colors from Pictures (GANs)

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.

Everything Data Science, ML, Big Data In 30 Mins

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 The Area Burned By Forest Fire using BootML

Predicting Housing Pricing in California using AzureML

Predicting Housing Pricing in California using AzureML

C is for Classification

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

End to End Project - Artificial Intelligence & Machine Learning for Managers

Speed-up your Pandas Workflow by changing a single line of code

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

Machine Learning Types - Artificial Intelligence & Machine Learning for Managers

5 Use Cases of Pandas loc and iloc Methods

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 - Approach - Artificial Intelligence & Machine Learning for Managers

Machine Learning Process - Representing Data

Machine Learning Process - Representing Data

Underpinnings of ML

Underpinnings of ML

MLxtend: A Python Library with interesting tools for data science tasks

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.