S.No
|
IEEE
2020-21 PYTHON Project Titles
|
Domain
|
Lang
|
1
|
A
Machine Learning Methodology for Diagnosing Chronic Kidney Disease
|
MACHINE LEARNING
|
PYTHON
|
2
|
Academic
Performance Prediction Based on Multisource, Multifeature Behavioral
Data
|
MACHINE LEARNING
|
PYTHON
|
3
|
An
Efficient Spam Detection Technique for IoT Devices using Machine Learning
|
MACHINE LEARNING
|
PYTHON
|
4
|
Artificial
Intelligence and COVID-19: Deep Learning Approaches for Diagnosis
and Treatment
|
MACHINE LEARNING
|
PYTHON
|
5
|
Comparison
of Machine Learning Algorithms for Predicting Crime Hotspots
|
MACHINE LEARNING
|
PYTHON
|
6
|
COVID-19
Future Forecasting Using Supervised Machine Learning Models
|
MACHINE LEARNING
|
PYTHON
|
7
|
Crop
Yield Prediction based on Indian Agriculture using Machine Learning
|
MACHINE LEARNING
|
PYTHON
|
8
|
Defensive Modeling of Fake News
Through Online Social
Networks
|
MACHINE LEARNING
|
PYTHON
|
9
|
Detecting
and Characterizing Extremist Reviewer Groups in Online Product
Reviews
|
MACHINE LEARNING
|
PYTHON
|
10
|
Detecting
Spam Email With Machine Learning Optimized With Bio- Inspired
Metaheuristic Algorithms
|
MACHINE LEARNING
|
PYTHON
|
11
|
Detection
of Fake and Clone accounts in Twitter using Classification and Distance Measure Algorithms
|
MACHINE LEARNING
|
PYTHON
|
12
|
Detection
of Malicious Social Bots Using Learning Automata With URL Features
in Twitter Network
|
MACHINE LEARNING
|
PYTHON
|
13
|
Finding Psychological Instability Using Machine
Learning
|
MACHINE LEARNING
|
PYTHON
|
14
|
Flight
Delay Prediction Based on Aviation Big Data and Machine Learning
|
MACHINE LEARNING
|
PYTHON
|
15
|
HDPM:
An Effective Heart Disease Prediction Model for a Clinical Decision Support
System
|
MACHINE LEARNING
|
PYTHON
|
16
|
Heart
Disease Identification Method Using Machine Learning Classification in E-Healthcare
|
MACHINE LEARNING
|
PYTHON
|
17
|
Hybrid Feature
based Prediction of Suicide Related
Activity on Twitter
|
MACHINE LEARNING
|
PYTHON
|
18
|
Intrusion Detection System Using PCA with Random
Forest Approach
|
MACHINE LEARNING
|
PYTHON
|
19
|
Machine
Learning Based Suicide Ideation Prediction for Military Personnel
|
MACHINE LEARNING
|
PYTHON
|
20
|
Machine
Learning-Based Student's Native Place Identification for Real- Time
|
MACHINE LEARNING
|
PYTHON
|
21
|
Performance
Analysis on Student Feedback using Machine Learning Algorithms
|
MACHINE LEARNING
|
PYTHON
|
22
|
Predicting
Flight Delays with Error Calculation using Machine Learned Classifiers
|
MACHINE LEARNING
|
PYTHON
|
23
|
Predicting
Stock Market Trends Using Machine Learning and Deep
Learning
Algorithms Via Continuous and Binary Data; a Comparative Analysis
|
MACHINE LEARNING
|
PYTHON
|
24
|
Prediction
of Breast Cancer, Comparative Review of Machine Learning Techniques,
and Their Analysis
|
MACHINE LEARNING
|
PYTHON
|
25
|
Spam
Review Detection Using the Linguistic and Spammer Behavioral Methods
|
MACHINE LEARNING
|
PYTHON
|
26
|
Students
Performance Prediction in Online Courses Using Machine Learning Algorithms
|
MACHINE LEARNING
|
PYTHON
|
27
|
Deep Learning Based Fusion Approach for Hate Speech
Detection
|
DEEP LEARNING
|
PYTHON
|
28
|
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
|
DEEP LEARNING
|
PYTHON
|
29
|
Rice Leaf
Diseases Classification Using
CNN With Transfer Learning
|
DEEP LEARNING
|
PYTHON
|
30
|
A
Mask Detection Method for Shoppers Under the Threat of COVID-19 Coronavirus
|
DEEP LEARNING
|
PYTHON
|
31
|
FAKEDETECTOR:
Effective Fake News Detection with Deep Diffusive Neural
Network
|
NEURAL
NETWORK | PYTHON
|
32
|
Robust
Spammer Detection Using Collaborative Neural Network in Internet of Thing Applications
|
NEURAL NETWORK
|
PYTHON
|
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