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breast-cancer-scikitlearn

simple tutorial on Machine Learning with Scikitlearn

breastcancer_classification

Machine learning classifier for cancer tissues

brest-cancer-classificatoin

Brest cancer classification using SVC and various kernels and visualizing the model

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-detection

machinelearning_breastcancer_python

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

recommender_system-meal_recommender_dashboard

Burger King Meal Planner and Recommender is a dynamic dashboard crafted with the power of Tableau and Unsupervised Machine Learning Algorithm.

website-for-visat

Informative website for VIT's Technical Team (Team ViSAT)

wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

xwitch

Website for a project (mainly front-end)

yodha-fighting_breast_cancer

Every 15 seconds, somewhere in the world, a woman is diagnosed with breast cancer (derived from GLOBOCAN Facts and Figures 2018). Breast cancer is the most common cancer in women worldwide and is increasing, particularly in developing countries where the majority of cases are diagnose. Here we come up with the solution where we help those patients who are fight against breast cancer by providing them a reliable and effective solution.