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#计算机科学#Implementasi algoritma kNN dengan Python
👥 ➡️ 💰 Analysis and classification model for the adult dataset
#计算机科学#Census income prediction by employing the power of supervised learning
#计算机科学#Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)
Classification Adult DataSet (https://archive.ics.uci.edu/ml/datasets/Adult) using MLP (Multi-Layer Perceptron).
In this, i carried out EDA(exploratory data analysis) on adult_data.csv to extract meaningful insights and followed it by applying LogRegression on it.
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
#计算机科学#Exploring Federated Learning with TensorFlow, torch and Pysyft
Analysis and classification of annual income of an individual on Adult dataset
Decision tree, Adaboost, KNN, Naive bayes, PCA, EM algorithm assignments of Machine Learning Sessional Course CSE 472 in Level-4, Term-2 of CSE, BUET
DT-id3classifier that can fit with categorical values
Naive Bayes
A PYTHON3, HTTPS SERVER WITH USERNAME AND PASSWORD PROTECTION
#计算机科学#This project investigates factors influencing income using the Adult Income Dataset. It involves data preprocessing, visualization, and machine learning. Key steps include data cleaning, feature trans...
TOKI-BOT, the friendly code-generator for fledgling open-source data producers
Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset
Project aimed to compare performance of standard Machine Learning algorithms on a Person Income Prediction problem
#计算机科学#Project for Artificial Intelligence exam: Pruning of the Decision Tree rules