Data Science project about Social Media using supervised, unsupervised and reinforcement Machine Learning algorithms.
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Updated
May 18, 2020 - Jupyter Notebook
Data Science project about Social Media using supervised, unsupervised and reinforcement Machine Learning algorithms.
Awesome papers on Machine Learning and Statistical Models
Machine Learning Project
Machine Learning Project
Machine Learning Project
isCovid() Project: A web application, that takes a chest X-Ray image and uses Deep Learning to try to predict if the person has some initial effects/infection of COVID 19, so that it can be treated before his/her condition gets worsened .
Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
PyPi package to perform quality analyses on ML models.
This is a hackathon project that helps clinics to predict the re-admission rate for people with diabetes.
Some final reports from my senior-level case studies course (STA440 at Duke University - Fall 2019)
In this ML Regression project, I participated in the House Prices competition on Kaggle and scored a top 3% on the leaderboard.
In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!
A collection of Python Implementations in Data Science
Analyzing a dataset that shows the information of patients of a hospital and shows whether the patient arrived at their booked appointment or not. The goal of this project is to build a Machine learning model that can predict whether the patient with the given info will arrive or not.
In this Kaggle project, I worked on the Covid-19 dataset to predict Covid-19 cases in India and all over the world. Used Matplotlib, Seaborn, and Plotly for Data Visualization. Used Prophet, Arima, Lasso, Linear Regression, Ridge Reg, Stacking & Blending for Prediction.
Machine Learning Concepts And Models using Octave and Jupyter Notebook
List of model registry resources and tools
Text classification model (Natural Language Processing)
Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.
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