stu115/Machine-learning-assignment-pt.2

Doing algorithms on next sets of data

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aliktepl/knn-classifier

Machine learning algorithm (K Nearest Neighbors) on a TCP server in C++ with command design pattern and multi-threading capabilities.

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annarsama/PropertyValues-Prediction

Prediction of property values using machine learning algorithms and about 3 million data

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nadhif-royal/ModelComparisonML

In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.

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DivyanshVyas123/Mental-Health-Prediction

This GitHub repository focuses on predicting mental health conditions. It provides tools and resources for analyzing trends and patterns related to mental health issues.

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SahanjithD/Sinhala-Characters-Recognition

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lucasfrag/Dengue-Prediction-KNC

Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.

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MAHMOUD2ABDALLAH/family-members-segmentation

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

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taeefnajib/glass-type-prediction

In this project, we are going to classify the type of a glass based on the elements used in the glass.

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evernext10/Hand-Gesture-Recognition-Machine-Learning

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

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sam-salehi/KNN-Song-Genre

Using a KNN approach to predict song genre based on metrics provided by spotify

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kanchitank/Mushroom-Classification

A machine-learning project to determine if a certain mushroom is edible or poisonous.

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Rcode879/Handwritten-digit-detector

A school machine learning project based on the Knearest neighbours model

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Milanpeter-77/Competition-AXA-Data-Science-Challenge

AXA Data Science Challenge

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ShakeefAhmedRakin/LungCancerPrediction

Lung Cancer Prediction achieved using sklearn for the CSE422 course at BRAC University,

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shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

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Mugambi645/machine-learning-with-iris-dataset

Iris classification with supervised learning algorithms

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madeyoga/face-recognition

Train SVM & KNN model for face recognition with the help of "The world's simplest facial recognition api for Python and the command line"

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LeftCoastNerdGirl/Disaster_Tweet_Classification_NLP

This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.

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johannaschmidle/ChurnPredictionModel

Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)

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abhiverse01/Iris-Classifier-KNN

The Iris flower classification project uses the Iris dataset to demonstrate a simple machine-learning workflow. It covers data loading, exploration, preprocessing, model building, evaluation, and data visualization.

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imShubh03/Machine_Learning

Explore hands-on machine learning projects, resources, and collaborative opportunities in this GitHub repository.

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YNWA-Algo/T-Cancer-Reoccurrence-Predictor-Model

This project leverages data from 383 thyroid cancer patients over 15 years to develop a model to predict propensity for reoccurrence based on certain features. This work extends and further explores different model types to emerge with the best predictor model - and save more lives

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emykes/Flu_Vaccination_ML

The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.

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kshitijshrivastava1903/Liver-Disease-Prediction-Using-ML_Algorithms

Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.

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edwinthomas444/machine-learning

e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms

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storytellingengineer/kNN_Classifier

Complete theory and practical implementation of k-Nearest Neighbors Classifier

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tranhlok/k-nearest-neighbors 📦

Python code for k-nearest neighbors algorithm.

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gflexx/Spaceship-Titanic

This is a kaggle ML/AI competition for predicting if passengers survived after ship accident

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cvogitgud/KNNClassifier

Repo for my K-Nearest Neighbor Classifier

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diffrxction/House-Prediction-Boston

ML project.

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haniye6776/feature-issues

In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models

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umangrmehta/image-orientation-classifier

Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm

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Abdelrahman-Amen/k-nearest-neighbors-KNN-from-scratch-and-Built_in

KNN is a basic machine learning algorithm used for classification and regression tasks. It predicts the class of a new data point based on the majority class of its nearest neighbors. KNN is simple, non-parametric, and learns directly from the training data without explicit training.

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Abdelrahman-Amen/Titanic-survival-prediction

The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.

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Shyamal-Shah/Image-based-recommender-system

Deep learning based recommender system made up of CNN for feature extraction and k-nearest-neighbors for recommendation

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kpsijil2/Bank-Note-Analysis

Predicting Bank note genuine or not.

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psavarmattas/Stroke-Prediction-ML-Model

This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.

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MuskanKhandelia/Iphone_Purchase_Prediction

supervised-machine-learning-knearest-neighbour-and-decision-tree-classification

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Gyanalyst/Loan-Approval-Prediction-Case-Study

This is a Classification problem in which we need to classify whether the Loan will be approved or not.

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nopesir/SVMHomework1

First homework of the course "Machine learning and artificial intelligence", focused on K-Nearest Neighbors, Support Vector Machines and cross-validation technique.

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Valeria9533/Cifar10_pattern_recognition

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amoustakis/Estimation-of-vital-status-of-cancer-patients-using-Machine-Learning

Estimation of vital status of patients with ovarian cancer using Machine Learning models (K-Nearest-Neighbors, Support Vector Machine, Logistic Regression, Random Forest and XGBoost)

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Emman-24/Classification-of-Handwritten-Digits

This project aims to build a convolutional neural network (CNN) model that can classify handwritten digits from the MNIST dataset.

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rfhussain/Marketing-Data-Analysis-of-Bank-with-Machine-Learning

An assignment project which analyzes the demographic and marketing campaign related information of client records to predict if he/she will subscribe to the product or not

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digamjain/Clustering-Geolocation-Data-Intelligently

My learning outcomes and followup of a well instructed Coursera guided project by Ari Anastassiou.

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lasanthagithub/Identifying_Fraud_from_Enron_Emails_using_Machine_Learning

The fraud identification models were build using Python Scikit-learn machine-learning module.

Language: Python - Size: 12 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 2

hernanrazo/UCI-iris-classification 📦

A python script that classifies iris flower species based on their various dimensions.

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iashishpatel/Machine-Learning-Classification

In this repository i am going work on multiple Classification models and technique's.

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JenilGajjar20/Machine_Deep_Learning-Algorithms

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alexandragross9/Diabetes_Project

EDA, Hypothesis Testing, Feature Engineering, Model Pre-Processing, and Model Construction in Python

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gkar90/OKCupid-Project

Scrape OKCupid data and run data analysis and machine learning to better predict variables.

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rupak10987/Neural-Network-Algorithoms

This repository consists of codes regarding different neural network algorithom implementation.

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Leohrithik/Titanic-Survival-Prediction

Survival prediction using Four Different kind of algorithms and optimizing the dataset using PCA and SMOTE

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KhaledTofailieh/Hand-Written_Digits-Recognition

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jmrieck17/CSC-5800-Final-Project-Heart-Disease-Prediction

This project repository evaluates the effects of feature reduction on the heart disease dataset using multiple machine learning models

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midNight-jam/Reviews-Polarity-Inference

A practical application in e-commerce applications to infer sentiment (or polarity) from free-form review text submitted for a range of products. I have wrote a K Nearest Neighbor algorithm to calculate the locality of a review vector in the Euclidean space using the Cosine Similarity Metric.

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hemanth0808/diabetes_classification

Here we detect diabetes based on some attribute values related to body

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iamjagdeesh/Machine-Learning-Assignments

CSE 575 Statistical Machine Learning

Language: Python - Size: 15.3 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 4

felipexw/guessb

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Language: Python - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

Abhishekkohli/Disease-Predictor

This Machine Learning project is used to predict the disease based on the symptoms given by the user. It predicts using the best result obtained from several machine learning algorithms. It uses tkinter for GUI.

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Manaliagarwal/Eigen-Faces-fetch_olivetti_faces-

Eigenfaces is an approach to facial recognition based on the overall appearance of a face, not on its particular details. By means of technique that can intercept and reshape the variance present in the image, the reshaped information is treated like the DNA of a face, thus allowing recovery of similar faces (because they have similar variances) in a host of facial images.

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HillalXD/wine-clustering

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smorga41/Logistic-Regression-Sentiment-Analysis

A Supervised machine learning classifier using K Nearest Neighbour (KNN) and Logistic Regression.

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saramille/Breast-cancer-Data-analysis

This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

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iamkirankumaryadav/Iris

Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.

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581-pooja/Disease-Detection-ML

Heart, Kidney, and Diabetes Disease Detection website will use machine learning to predict the results, it is an end-to-end website deployed using Azure Cloud Services.

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abideen-olawuwo/healthmonitor

A model for healthmonitor

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sakshibabbar2019/Classification-suite-and-Methods-for-Performance-Evaluation

Predictive problems requires three main challenges to overcome. First, choosing the right classification algorithm. Second, building a robust building and testing environment for algorithm to learn and thirdly, picking the appropriate performance metric for evaluation. Here it is explained how these challenges can be addressed.

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mstuefer/data_mining

The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

Language: Ruby - Size: 188 KB - Last synced at: 6 months ago - Pushed at: almost 10 years ago - Stars: 15 - Forks: 6

ms-daniel/II-Projeto-IA

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

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Sanky18/Machine_Learning_Projects

Personalized Medicine: Redefining Cancer Treatment

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npagrawal/Book-Recommendation-Engine

You just finished a book! Now what? Using KNN and NLP, I can give you the next five books on your reading list based on the one you just finished. 

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dotorimuk1112/ML_self_taught

What I taught myself about Machine learning

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mahyarsab/Hotel_Reviews_NLP_Analysis

The goal of this project is to use Natural Language Processing (NLP) techniques to analyze hotel reviews and gain insights into customer opinions and experiences to classify hotel reviews.

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NemesLaszlo/Heart-Disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

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simonefinelli/PulsarStar

Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.

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allanphil/Company-Bankruptcy-Prediction

This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.

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fazeelkhalid/artificial-intelligence-real-life-problem-and-solutions

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

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TomerLankri/MNIST-DB-ML-models

In this repository I present some of the models i trained learning the MNIST DB.

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rifqinvnd/Stroke-Disease-Classification

Detection (Prediction) of the possibility of a stroke in a person

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11dome11/K-Nearest-Neighbors-and-Radius-Neighbors-Implementation

Application of my own KNN and RN algorithms (weighted or not) on iris dataset

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Jiboku-Oluwatunmise/fraud-detection-model

This is a machine learning model which has been tested and trained to solve the fradulent problems which challenges a bank. Because the bank intended to detect fraudulent transactions automatically, this model was established.

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meljoy1099/waterwell-status-prediction

Predicting the functionality of waterpoints in Tanzania to help solve their water crisis. Modeling techniques include Logistic Regression, K Nearest Neighbors, Decision Trees, Random Forest, and XG Boost.

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rexgraystone/K-NearestNeighborsClassifier

This is the first machine learning assignment that I had completed in the 5th semester of my undergraduate course on Computer Science with Artificial Intelligence and Machine Learning at Dayananda Sagar University, Bengaluru, India in October 2022.

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Rl16193/Unpaved_Road_Condition_Monitoring

The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).

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anandanraju/Titanic_Survival_Prediction_Model

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

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alibulutb/Machine-Learning-Practice

I share the work I did when I first started learning machine learning.

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HassanAbdulJabbar/flower-detection-on-the-basis-of-Iris

We've applied machine learning K-Nearest Neighbor as a classification algorithm to iris dataset to detect the kind of flower on the basis of petal and sepal length. The detection will be made on the basis of the nearest matching categories of flower to which the results match and KNN maps it to that category.

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mortezagholi79/Project_ML2

Objective of the repository is to learn and build machine learning models using Python for data Housing Median Price ( BostonHousing).

Language: R - Size: 281 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

awojidetola/Mobile-Phone-Price-Prediction

In this project, the price ranges of mobile phones are predicted based on the features the phone possesses.

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gb-pignatti/ML_from_scratch

I code from scratch various Machine Learning algorithms.

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Ahmedaltu/Banking_Predictions

Banking predictions using logistic regression model and k-nearest neighbours regression model and comparison between them.

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datagirlz19/Applied-Data-Science-in-R

A collection of mini projects in R that apply statistical and machine learning methods and tools to solve data-driven problems

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l0reDLeon/KNearestNeighborsProject

Just a simple KNN project made with sklearn.

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roshancyriacmathew/Supervised-machine-learning-on-iris-datatset

This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.

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anishjohnson/Credit_Card_Default_Prediction

In this project we predict credit card defaults using classification models.

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sonu275981/breast-cancer-prediction

Breast Cancer Classification using Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbours (K-NN), Support Vector Machine (SVM), GaussianNB and Random Forest which is a supervised learning method to detect breast cancer are used.

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Toshani/Credit-Card-Fraud-Detector

Mini project repository where we have implemented Credit card fraud detection using encoding, SMOTE-ing and KNN.

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mauryashobhit/income_census

classification model to predict whether a person earns more than $50k per year or not

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