classification-algorithms

Machine-Learning

Machine_Learning

ml-classification-exercise-2

Another repository for trying out machine learning algorithms for classification

Loan-Repay

We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.

ML-for-Paediatric-Covid-Diagnosis

A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.

Predicting-Success-of-Bank-Telemarketing-Calls

Predicting success of Bank Telemarketing Calls: Implementing and Comparing various ML classification algorithms

YouTSentiment_Analysis

Analyse sentiments from youTube (comments) with MLFlow!

Machhine_learning

This repository showcases a variety of machine learning projects created using Google Colaboratory. It includes implementations of classification, regression, clustering, and time series analysis techniques.

Music-Mood-Classification-Project

An intelligent music mood analyzer that decodes the emotional essence of songs through advanced machine learning. By analyzing six key audio features, this system achieves remarkable 95%+ accuracy in classifying music into four distinct emotional categories. Perfect for creating emotionally intelligent playlists, music recommendation systems.

machine-learning-specialization-r

Includes worked examples in R of the machine learning algorithms covered in the Stanford/DeepLearning Machine Learning Specialisation

Bayesian-Neural-Networks-and-Classification

This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.

Bank-Marketing-Dataset

Data mining project carried out on the Bank Marketing Dataset (UCI).

projects

Projects

Fraud-Detection-ML-Model

Fraud detection ML model analyzing 8 transaction features (distance metrics, purchase ratios, security flags) across 1M samples. Best-performing models: Random Forest (AUC 0.99) and Logistic Regression (F1 0.95), with feature engineering to address class imbalance

Classification

This repository serves as a storage space for classification projects. Organized by projects, each directory houses code files, documentation, and dataset necessary for running and understanding the project. Feel free to explore the projects. Reach out for inquiries, feedback, or collaboration opportiunities.

Term-Deposit-Lead-Prediction-Machine-Learning

Identify a list of customers who will subscribe to Term Deposit Account using the classification problem

Phishing-Verification

Repository to store code and study material for the Internship

Credit-Score-Classifier

This project aims to develop a machine learning model that can accurately classify an individual's credit score between ["Good", "Standard","Poor"]. The model was trained using a supervised learning algorithm, Random Forest, on a dataset of credit score data.

MotorVehicleCollisionCrashAnalysis

The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.

Machine-learning

This repo contains machine different learning algorithms.

Heart-Disease-Identification

The project aims to predict the likelihood of heart disease in individuals based on medical data using various machine learning algorithms. The project involves data preprocessing, feature selection, model training, and evaluation. The goal is to create a predictive model that assists healthcare professionals in diagnosing heart conditions

classification_project

Kickstarter Campaign Success Prediction with ML Classification Algorithms

mammogram-mass-classifier

Use of classification supervised learning algorithms as a tool to perform predictive analysis over whether a mammogram mass is benign or malignant

ML-Project-The-Best-Classifier

This repository includes python code to check various Machine learning classification algorithms like KNN, Decision Tree, SVM and Logistic regression. It compares accuracy of different classification algorithms with jaccard_score, F1_score and log_loss.

classification-algorithms-computer-python3

A Python GUI project to compute the results of Data Mining Classification Algorithms: Naive Bayes & ID3 Decision Tree.

Nursery-Admission-Prediction

Nursery Admission Prediction uses Machine Learning classification algorithms to categorize whether the candidate is priority, recommended or not recommended to be admitted.

face_detection_and_recognition

Detection and Recognition of faces using ML Classification Algorithms, Neural Networks, Siamese Network and face-recognition library at Python

titanic-classification-comprehensive-modeling

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami. Data Description

goats_stats

Predicting Mountain Goats Album Era with Sentiment Analysis

lens-2017

LENS: Learning ENSembles using Reinforcement Learning 2017 (v1.0)

smax

Content maturity rating method for artistic social communities