Remove Algorithm Remove Analysis Remove Business Intelligence Remove Matrix
article thumbnail

Python for Machine Learning: A Tutorial

IT Business Edge

Jump to: Machine Learning 101 Python Libraries and Tools Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset. Machine learning (ML) is a form of artificial intelligence (AI) that teaches computers to make predictions and recommendations and solve problems based on data. Machine Learning 101. Model training.

article thumbnail

Customer Churn Model Using Smarten Assisted Predictive Modelling!

Elegant BI

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis. In order to select the best category of algorithm, users need to have some basic data literacy.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Handling Outliers Using Smarten Assisted Predictive Modelling!

Elegant BI

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. Dealing with Outliers: A secret ingredient for success of data analysis. Any kind of analysis initiates by looking upon the data. Outlier, an Outsider!

article thumbnail

Machine Maintenance Using Smarten Assisted Predictive Modelling!

Elegant BI

Now that we have a broader understanding of the machine maintenance use case, the next apparent step is to comprehend the data needed for exploratory analysis. Let’s get a taste of how Smarten Assisted Predictive Modelling can equip business users in providing insights upon machine maintenance tasks. If we have data, let’s look at it!

article thumbnail

Data Visualization for Marketers: Do’s, Dont’s, and 6 Expert Tools

CXL

The magic quadrant, often called the 2×2 matrix or the four-blocker, is great for reporting differences (i.e. Gartner’s magic quadrant is an example of a branded 2×2 matrix that plots a company’s ability to execute against its completeness of vision. The magic quadrant. opposites) or data points across two ranging scales.

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.