Data Preparation with Azure Databricks for Machine Learning

✅ Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform.

✅ Azure Databricks offers 3️⃣ environments for developing data-intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning.

✅ Machine learning is a data science technique used to extract patterns from data allowing computers🖥️ to identify related data, forecast future outcomes📊, behaviors, and trends.

✅ There is a lot of data today, but half of it is not optimized or processed and cannot be used directly to train machine learning models. Various steps are required to make the data-optimized and readily available to use & 4 common steps required are:

1️⃣ Data Cleaning
2️⃣ Feature Engineering
3️⃣ Data Scaling
4️⃣ Data Encoding

📚 Read the blog at https://k21academy.com/azurede35 to know more in detail about these steps and how data can be prepared with Azure Databricks for machine learning.

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