A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning

2020-06-15 · Tutorial to use codeBERT a MLM for Python code. Model trained from scratch using roBERTa

machine-learning machine-learning-on-code ml-on-code bert

This project is based on Natural Language processing (NLP), in this we do sentiment analysis(i.e, how much it is positive or negative) of tweets of any ...

natural-language-processing machine-learning visualization sentiment-analysis

2020-06-22 · The machine learning model uses DecisionTree classifier to predict whether a person is diabetic or not

decision-trees machine-learning exploratory-data-analysis data-science

To find ideal spots in the city where food retail stores can be put up, aiming at the demographic, thereby helping the owners of the outlets to earn ...

data-science visualization machine-learning clustering

2020-06-30 · Customer Churn is when customers leave a service in a given period of time, which is bad for business.

exploratory-data-analysis machine-learning classification python

2018-09-28 · Organized notes on machine learning.

machine-learning scikit-learn feature-engineering notebook

2020-06-18 · By Using KNN algorithm the model achieved 98% accuracy on testing data.

k-nearest-neighbors machine-learning visualization exploratory-data-analysis

For the given data of 100 hypothetical customers of their transaction history of 3 months, draw some unique and interesting insights with the features. ...

exploratory-data-analysis machine-learning linear-regression decision-trees

In this project i have implemented the basic linear regression model without using the sci-kit library.

machine-learning linear-regression regression tutorial

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