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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 18Sentiment-Detection
Time-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 pixelsLove Open Source and this site? Check out how you can help us