For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Data Science and Machine Learning - 16 wks
Full-Stack Software Developer - 16w
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions, and more.
Guides on different topics related to the technologies that we teach in our courses
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Follow the instructions below:
Once you have finished solving the exercises, be sure to commit your changes, push to your repository and go to 4Geeks.com to upload the repository link.
We want to set up our company's warehouse in another location and we need to estimate the rate of sales, which has been increasing since the company's creation, for the next few months in order to provide the space we will need.
The dataset can be found in this project folder under the name
sales.csv. You can load it into the code directly from the link (
https://raw.githubusercontent.com/4GeeksAcademy/alternative-time-series-project/main/sales.csv) or download it and add it by hand in your repository.
Construct the valid data structure for the time serie, graph it, and then analyze it and answer the following questions:
tensorin a time serie is the minimum unit of time for which there is data. It can be every second, minute, hour, day, week, month...
Use the training data to find the best parameterization of your ARIMA model.
Now use the trained model with the test set and compare the points with the real ones. Measure the performance of the time serie.
Store the model in the corresponding folder.