Statistics is the foundation of Data Science. It helps understand data patterns and build accurate machine learning models.
df["age"].mean()
df["salary"].median()
df["score"].mode()
df["age"].std()
df["age"].var()
Probability measures the chance of an event occurring.
df.corr()
P-value helps decide whether to accept or reject a hypothesis.
Indicates the range in which a true value lies with a certain confidence (e.g., 95%).
Statistics is essential for understanding data, validating models, and making informed decisions in Data Science.
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