Implementasi algoritma kNN dengan Python

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.

Exploring Federated Learning with TensorFlow, torch and Pysyft

Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

Classification Adult DataSet (https://archive.ics.uci.edu/ml/datasets/Adult) using MLP (Multi-Layer Perceptron).

👥 ➡️ 💰 Analysis and classification model for the adult dataset

Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)

Census income prediction by employing the power of supervised learning

DT-id3classifier that can fit with categorical values

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

Analysis and classification of annual income of an individual on Adult dataset

Project aimed to compare performance of standard Machine Learning algorithms on a Person Income Prediction problem

Naive Bayes

Project for Artificial Intelligence exam: Pruning of the Decision Tree rules

A PYTHON3, HTTPS SERVER WITH USERNAME AND PASSWORD PROTECTION

TOKI-BOT, the friendly code-generator for fledgling open-source data producers

Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset

To Determine the probability of a person to earn greater than 50,000 USD based on the features on the census dataset

I used a dataset called "Adult Data Set" with the goal of creating a deep learning model to predict if the income would be exceed or not 50K a year