Machine learning in python internship report
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The internship started with learning the basic concepts of statistics and probability, which are the backbone of data analysis. I learned how to interpret data using mean, median, mode, standard deviation, and correlation. These concepts helped me understand the distribution and relationships within data, which is crucial before applying any machine learning algorithms. Probability concepts further enabled me to model uncertainty and understand outcomes in classification problems and decision-ma...
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The internship started with learning the basic concepts of statistics and probability, which are the backbone of data analysis. I learned how to interpret data using mean, median, mode, standard deviation, and correlation. These concepts helped me understand the distribution and relationships within data, which is crucial before applying any machine learning algorithms. Probability concepts further enabled me to model uncertainty and understand outcomes in classification problems and decision-ma...