A zero-nonsense example of forecasting future data with machine learning.
Forecasting means you predict where you are about to be. If you have some sales data, you can forecast into the future what is likely to happen
In this project, Linear Regression is used to capture the trend of the data
I used arbitrary data in this project. It is a small dataset.
A prediction is made based on the historical data. The model is trained and used to make a prediction with 95% confidence. I show clear visualization
I demonstrate model selection, model training, model evaluation, checking assumptions, making predictions, forecasting forward, complex problem-solving, confidence interval calculating, Advanced Python Skills, Advanced Visualization Skills, and clear communication skills.
I have two goals:
- To show my data science skills
- To help others learn how to do this, because many of the courses I have taken and the things I have read make it harder than it actually is.
I'm Chris Woodward. I am currently seeking opportunities in Florida for data analysis/data science. I am very open to remote work and willing to relocate to another area in Florida under the right circumstances.
You can see all my efforts for continuous learning on my LinkedIn.