m-mahazabin

m-mahazabin's Stars

• sandipanpaul21/Tree-Based-Models-in-Python

  Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

  Language:Jupyter Notebook1110

• junmoan/income-prediction-DT

  Income Prediction using Decision Tree

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• junmoan/eeg-confused-RF-SVM-DT-XGBoost-CatBoost

  Confused EEG Classification using Random Forest, Support Vector Machine, Decision Tree, XGBoost, and CatBoost

  Language:Jupyter Notebook101

• junmoan/heart-disease-prediction-RF-MLP

  Heart Disease Prediction using Decision Tree classifier, Grid Search, and Multi-Layer Perceptron (MLP)

  Language:Jupyter Notebook113

• kb22/Deep-Learning-A-Z-Coursework

  This repository hosts all the deep learning models developed as part of the Deep Learning A-Z course on Udemy.

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• kb22/Digit-Recognition-with-Parameter-Tuning

  This project develops a digit recognizer machine learning model and identifies the best model parameters using GridSearchCV.

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• kb22/Medical-Appointment-No-Show-Prediction

  A repository where I work with both R and Python to predict whether someone would show up for a medical appointment or not.

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• kb22/Purchasing-Intention-Prediction

  The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.

  Language:Jupyter Notebook1710

• kb22/ML-Performance-Evaluation

  This repository includes analysis of classification results based on Receiver Operating Characteristic (ROC) Curve and Cumulative Accuracy Profile (CAP) Curves.

  Language:Jupyter Notebook1510

• RedaOps/ann-visualizer

  A python library for visualizing Artificial Neural Networks (ANN)

  Language:Python1.2k216

• pydeveloperashish/Heart-Disease-Prediction

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• pydeveloperashish/Mobile-Price-Classification

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• MoinDalvs/Assignment_Decision_Tree_1

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• MoinDalvs/Assignment_Random_Forest_1

  Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"

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• MoinDalvs/Assignment_KNN_Glass

  Problem Statement Implement a KNN model to classify the different types of Glass

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• Piyush-Bhardwaj/Breast-cancer-diagnosis-using-Machine-Learning

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

  Language:Python4333

• MrKhan0747/Diabetes-Prediction

  Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

  Language:Jupyter Notebook7856

• Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

  This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

  Language:Python15350

• pydeveloperashish/Predicting-which-of-your-Employee-will-Quit-your-Company-Data-Science-Project

  Language:Jupyter Notebook1121