swapniltake1/LP-III-SPPU-2019-PATTERN-BE-COMPUTER-ENGINEERING-LP-III-PRACTICALS-CODES-MINIPROJECTS-ML-DAA-BLOCKCH

LP-III SPPU 2019 PATTERN BE COMPUTER ENGINEERING LP III PRACTICALS CODES MINIPROJECTS ML DAA BLOCKCHAIN REPORTS

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This collection of practical codes and mini-projects helps computer engineering students and beginners understand fundamental algorithms and machine learning concepts. It includes examples for comparing string matching algorithms and building a machine learning model to predict Titanic survival. You provide data like passenger details or strings, and the output includes algorithm comparisons, model predictions, and data analysis visualizations. This is ideal for computer science students and aspiring data scientists taking their first steps in machine learning.

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Use this if you are a computer engineering student or a beginner in machine learning looking for practical code examples and explanations for common algorithms and data science workflows.

Not ideal if you are an experienced data scientist looking for advanced machine learning solutions or a robust, production-ready application.

computer-engineering-education algorithm-analysis machine-learning-beginners data-analysis blockchain-survey
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Nov 19, 2022

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