Data scientist is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
However, the supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.
And how can you do that?
This blog post at k21academy.com/aiml05 covers Hands-On Labs that you must perform to become a Data Scientist. In these Hands-On labs, you will learn about the most effective Data Science and Machine Learning techniques, and gain practice implementing them and getting them to work for yourself.
The blog post covers:
1. Data Pre-Processing
2. Missing values
3. Feature Engineering, encoding, and scaling of data
4. Outlier detection & analysis
5. Principal Component Analysis (PCA) and so on…
Learn Data Science & ML using Python in our Free Masterclass at k21academy.com/aiml02 and seek expert guidance.
Also, don’t forget to join us on our FREE Telegram group https://t.me/aimlwithk21academy, and be the first to receive AI, ML related news and updates.