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MACHINE LEARNING - PYTHON
Code
Number of Projects Available
Action
CMLP001
Diagnosis of cardiovascular disorder by CT images using Machine learning technique
CMLP002
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference
CMLP003
Future Prediction of COVID-19 based on Supervised Machine Learning Models
CMLP004
Machine Learning Based Preemptive Diagnosis of Lung Cancer Using Clinical Data
CMLP005
An Event-Based Framework for Facilitating Real-Time Sentiment Analysis in Educational Contexts
CMLP006
Logical Mining Assisted Heart Disease Prediction Scheme in Association with Deep Learning Principles
CMLP007
Feature Extraction and Classification of Bone Tumor using CNN Classifier with KNN Classifier
CMLP008
Deep Learning-Based Glaucoma Detection with Cropped Optic Cup and Disc and Blood Vessel Segmentation
CMLP009
Prediction Of Concentration of Air Pollution Using Deep and Machine Learning
CMLP010
Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment
CMLP011
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM
CMLP012
Fake Reviews Detection using Support Vector Machine
CMLP013
A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices
CMLP014
Stock Market Prediction using Machine Learning
CMLP015
The Improvement of Character Recognition on ANPR Algorithm using CNN Method with Batch Normalization
CMLP016
Prediction of Air Pollutant PM10 using Various SVM Models
CMLP017
Fake logo Detection system
CMLP018
Lung Disease Detection of Diabetic Patients by DNN Approach Using CT scan Images
CMLP019
A New CNN-Based Method for Multi-Directional Car License Plate Detection
CMLP020
An Efficient CNN Model to Detect Copy-Move Image forgery
CMLP021
Comparative Analysis of Supervised Machine Learning Techniques for AQI Prediction
CMLP022
Distributed Machine Learning for Multiuser Mobile Edge Computing Systems
CMLP023
Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework
CMLP024
Face Detection from Blurred Images based on Convolutional Neural Networks
CMLP025
Detection of Diabetic Severity through DNN algorithm using fundus image
CMLP026
CNN Based Fundus Images Classification for Glaucoma Identification
CMLP027
Analysis of Breast Cancer using Machine Learning Methods
CMLP028
Autism Spectrum Disorder Detection Techniques
CMLP029
A Comparative Study of ConvoBiGRU and ConvoBiLSTM on Amazon Dataset
CMLP030
Based Health monitoring services
CMLP031
Plant leaf disease detection using convolutional neural network
CMLP032
Sentiment Analysis for Arabic Tweets on Covid-19 Using Computational Techniques
CMLP033
Implementation of Personality Detection and Accuracy Prediction for identification of fake and true news using Decision Tree and Random Forest Algorithms
CMLP034
Efficient Net with Optimal Wavelet Neural Network for DR Detection and Grading
CMLP035
Comparative Analysis of Forecasting Models for Air Quality Index Prediction
CMLP036
Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security
CMLP037
machine learning
CMLP038
Analysis of customer reviews and predicting future release of products using Machine Learning
CMLP039
Drone Detection System for security purpose in Airforce
CMLP040
Animal Detection In Wildlife system using Inveptionv3 model
CMLP041
Smart Vehicle Number Plate Scanning System using Optical Character Recognition Strategy
CMLP042
Brain Tumor Detection from MRI Images using Naive Classifier
CMLP043
Diagnosis of cardiovascular disorder by CT images using Machine Learning
CMLP044
Fake Video Identification using Neural Networks
CMLP045
Crime analysis and Prediction using Neural Networks
CMLP046
Medical Image Forgery Detection for Smart Healthcare
CMLP047
Drowsy Status Monitoring System based on Face Feature Analysis
CMLP048
Detection of Stress in IT Employees using Machine Learning Technique
CMLP049
Improved Sentimental Analysis to the Movie Reviews using Naive Bayes Classifier
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