-
Stars20
-
Rank 1,119,277 (Top 23 %)
-
LanguageJupyter Notebook
-
Created over 3 years ago
-
Updated over 3 years ago
Reviews
There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
SVM (Support Vector Machines) is used to build and train a model using human cell records, and classify cells to predict whether the samples are benign or malignant and display output using Flask Application On Heroku
More Repositories
1
Hospital-Management-System
The purpose of this project is to computerize the Front Office Management of Hospital by developing a software which is user friendly, simple, fast, and costโ effective. It deals with the collection of patientโs information, diagnosis details, etc.Python
15
2
Controlling-Media-Player-with-Hand-Gestures-using-Convolutional-Neural-Network
An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io sharing.Jupyter Notebook
14
3
Suven-Consultants-and-Technology
During this Online Coding Internship, I have worked on projects related to Data Analytics and Machine Learning.Jupyter Notebook
5
4
CSVDataVisualizationTool
Welcome to the CSV Data Visualization Tool! This tool allows you to easily upload, view, edit, and visualize CSV files.JavaScript
4
5
Personal_Portfolio_Website
Using HTML,CSS,Bootstrap and JavaScriptHTML
1
6
ReactQuizApp
Developed a quiz application using React, allowing users to participate in an interactive quiz. Implemented a user-friendly interface with multiple-choice questions, instant results, and a responsive design.JavaScript
1
7
Drug-Prediction
Using the popular machine learning algorithm, Decision Tree which is a classification algorithm we build a model from historical data of patients, and their respond to different medications. Then you use the trained decision tree to predict the class of an unknown patient, or to find a proper drug for a new patient.Jupyter Notebook
1
8
Face-Emotion-Recognition
Built a real time system which is able to capture facial emotions of a person and classify human faces in real time into a fixed number of emotions. Trained a CNN to identify whether the face is happy, angry, sad, surprised etc.Jupyter Notebook
1
9
DiabetesDetection
Jupyter Notebook
1
10
Weather-Station-Clustering-using-DBSCAN
DBSCAN is specially very good for tasks like class identification on a spatial context. The wonderful attribute of DBSCAN algorithm is that it can find out any arbitrary shape cluster without getting affected by noise. For example, this following example cluster the location of weather stations in Canada. DBSCAN can be used here, for instance, to find the group of stations which show the same weather condition. As you can see, it not only finds different arbitrary shaped clusters, can find the denser part of data-centered samples by ignoring less-dense areas or noises.Jupyter Notebook
1