Data Science, Machine Learning, Artificial Intelligence, Technology, Data.
insights needed to set up your model correctly. Means & Variances: Calculate the averages and variations to understand the data’s distribution. Correlations: Identify the relationships between features to capture dependencies accurately. Distributions: Examine how different features are distributed