A Face Detection and Recognition system based on Eigenface method
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Updated
May 10, 2020 - Jupyter Notebook
A Face Detection and Recognition system based on Eigenface method
Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.
Using and comparing Support Vector machine, Random Branch Forest and Easy Ensemble algorithms to predict if a stock will have a positive or negative annual return.
Project on course "Data Mining 2"
Given the details of cell nuclei taken from breast mass, objective is to predict whether or not a patient has breast cancer using the Ensembling Techniques. This is a classification problem. The dataset consists of several predictor variables and one target variable, Diagnosis. The target variable has values 'Benign' and 'Malignant', where 'Beni…
This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes using Random Forest Algorithm
An ensemble model created to classify images of currencies of 211-different classes. Winning entry for the https://www.kaggle.com/competitions/currency-prediction-challenge with around 88% accuracy.
Machine learning diabetes prediction mini project
Kernels for machine learning problems
Since 1946, all member states of the United Nations have come together at the United Nations General Assembly to discuss and vote on resolutions, among other things. Currently 193 states belong to the United Nations. Each of these member states has exactly one vote in the General Assembly’s resolution votes on issues such as disarmament, interna…
Machine learning project to classification of stars, quasars and galaxies
Automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others.
Design of several classifiers to discriminate between calcification and masses, as well as, benign and malignant ones of mammography films.
Predicted the breast cancer in patient using Ensemble Techniques and evaluated the model
Off-the-Shelf Ensemble Systems
Implementation of various classification models for Pulsar Classification.
Supervised Machine Learning project to predict credit risk
Predict a person who seeks loan might be a defaulter or a non-defaulter
Logisitc Regression - A Binary Classification Method
Predicted credit risk using resampling models, SMOTEENN algorithm and Ensemble classifiers.
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