One reason interest in machine learning jobs will continue to grow is how lucrative the pay is. Another is how interesting the work is. If you're looking to plant your foot in a growing industry, then machine learning could be for you. The average machine learning salary, according to Indeed's research, can be anywhere between $96,00 - $146,085.
How to Handle Missing Data in R with simputation
In 10-minutes, learn how to visualize and impute in R using ggplot dplyr and 3 more packages to simple imputation. Here are the links to get set up.
R/Python Teams Course Announcement
Add value as part of an R/Python Collaborative Team, be confident working with Python Users as part of a Team and working with Python.
How to Make 3D Plots in R
30 Year Weather Data Analysis
Quickly learn how to analyze weather data. This is a code-based article showing how to load, explore and visualize the data from 30 years of Connecticut weather history.
6 Life-Altering RStudio Keyboard Shortcuts
The RStudio IDE is amazing. You can enhance your R productivity even more with these simple keyboard shortcuts.
Plotting Time Series in R (New Cyberpunk Theme)
One of the most common data science visualization is a Time Series plot. In this tutorial we'll learn how to plot time series using ggplot, plotly and timetk.
Build and Evaluate A Logistic Regression Classifier
Logistic regression is a simple, yet powerful classification model. In this tutorial, learn how to build a predictive classifier that classifies the age of a vehicle.
6 Reasons To Learn R For Business [2021]
Learn R for business - Data science for business is the future of business analytics. Here are 6 reasons why R is the right choice.
Interactive Principal Component Analysis in R
Identify Clusters in your Data. We'll make an Interactive PCA visualization to investigate clusters and learn why observations are similar to each other.
Web Scraping and Analyzing Home Rentals (Python + R)
How To Make Geographic Map Visualizations (10 Must-Know Tidyverse Functions #6)
If you are explaining data related to geography or just want to visualize by latitude / longitude location, you need to know ggplot2 and the tidyverse for making maps.