IBM Project
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Updated
Sep 13, 2022 - Jupyter Notebook
IBM Project
Check out the projects that I have made using scikit-learn.
Credit Card Fraud Detection using KNN and K-means
Project 01 - Credit Card Approval Prediction.Also included a few resources on side that I found helpful.
Sentiment Analysis of Foreigners against Indonesian Language
This module introduces classification — you will be implementing the various techniques such as k-nearest neighbors and Support Vector Machines. You will be using the Euclidean distance to work with the k-nearest neighbors.
Classify candidate exoplanets using various machine learning models like Random Forest, KNN, Logistic Regression and SVM
The algorithm k-nearest-neighbor with an anonymous data set, in Python.
Tugas Akhir - Mus Priandi
Heart Disease Classification with Python
Project 03 - Social Network Ads.Also included a few resources on side that I found helpful.
Hello world for ML 🍄
This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
This repo was created to share the source code for the initial paper about automatic identification of interlanguage transfer phenomena between Brazilian Portuguese and American English using machine learning techniques.
Artificial Intelligence | BRACU
scikit-learn compatible estimators for various kNN imputation methods
Advertisement Click detection using Kaggle data
This notebook is about creating a 2D dataset and using supervised machine learning algorithms like K-Nearest Neighbor, Support Vector Machine and Linear Regression to classify data points then selecting the best parameters using cross validation method, and finally comparing the results.
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