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Lab-work
ML Lab RepositoryLung-Diesease-Prediction
Industrial-Attachment-Internship
Anomaly-Detection
Anomaly detection (also known as outlier analysis) is a data mining step that detects data points, events, and/or observations that differ from the expected behavior of a dataset. A typical data might reveal significant situations, such as a technical fault, or prospective possibilities, such as a shift in consumer behavior.Handwritten-Digit-Recognition-uning-ANN
Bangla-Handwritten-Digit-CNN
COVID-19-Bangladesh
Tensorflow-Developer-Prof.-Course
Olymics-2021-Analysis
TensorFlow-Advanced-Techniques-Specialization
Convolutional-Neural-Network-Coursera
Custom-Tensorflow
Ensemble-Learning
Ensemble learning is a powerful Machine Learning technique that combines multiple weak learners to develop a strong learner.Credit-Risk-Modeling
Data-Analysis-IBM-Coursera-
nafiul-araf
Config files for my GitHub profile.Audio-Classification
Data-Science-Track-Course-Statistical-Thiniking-in-Python-DataCamp--Slightly-Modified-
Datacamp 'Data Scientists in Python' track course no 17 and 18Time-Series-Analysis
BFND-System
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & EngineeringPerceptilabs
Image-Segmentation-using-CNN-with-Data-Augmentation
Blood-Donation-Prediction
Heart-Diesease-Prediction
EDA
Flask-
Deployment ML projectImage-Segmenation-with-Tensorflow-project-
Image segmentation means the edge detection of an image. Here the digital is partitioned into several subgroups of pixelsBangla-Handwritten-Digit-Recognition-CNN
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