پروژه پایتون (6888)
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کد پروژه: 441414
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فعلا دوتا تمرین PCA و Logiatic regression هست
مابقی کارها رو بعدا بهتون میگم
1. We have a dataset containing information about students. We want to create a logistic regression
model to predict the probability of a student's success based on a number of variables.
a) Import the dataset (use the "Students Performance in Exams" dataset) into a programming
environment such as Python or R.
b) Perform exploratory data analysis (EDA) to understand the distribution of variables, potential
relationships between them, and identify if there are missing values or outliers.
c) Establish the model to predict success based on the presented variables.
2. Perform PCA analysis to reduce the dimensionality of a dataset of your choice (you can do this in
Python or R). Detail the steps (using graphs and figures), interpret the results, and justify the
selection of retained principal components
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