| S.No. | Article Title & Authors | Page No | Download |
| 1 | ENHANCING THE COMPUTATIONAL POWER OF MACHINE LEARNING Abheet Kansal |
01-07 |
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| 2 | MACHINE LEARNING ON DIABETES MANAGEMENT: EMPLOYABILITY OF ADVANCED LOGISTIC REGRESSION AND PREDICTIVE ANALYSIS IN EARLY DETECTION OF DIABETES Sidharth Grover |
08-17 |
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| 3 | SUPERVISED MACHINE LEARNING ALGORITHMS: DEVELOPING AN EFFECTIVE USABILITY OF COMPUTERIZED TOMOGRAPHY DATA IN THE EARLY DETECTION OF LUNG CANCER IN SMALL CELL Pushkar Garg |
18-25 |
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| 4 | EMPLOYABILITY OF NEURAL NETWORK ALGORITHMS IN PREDICTION OF STOCK MARKET BASED ON SENTIMENT ANALYSIS Pranjal Bajaria |
26-31 |
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| 5 | PARTICLE ACCELERATORS- TYPES, DESIGN AND FUNCTIONALITY Suryansh Panwar, Ms. Bhavana Gupta |
32-42 |
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| 6 | SOME CONTRIBUTION OF THE APN SYSTEM IN COMPUTER SCIENCE Dr. Krishnandan Prasad |
43-49 |
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