IBM Project
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Updated
Sep 13, 2022 - Jupyter Notebook
IBM Project
ML Project - Coded (Election Vote Prediction)
Using SciKit Learn few Deep Learning Rules and Algorithms are implemented
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
Plotting the Optimal Distance for Data Scientists in Python using the K-Nearest Neighbour K-NN Algorithm
Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
Project 03 - Social Network Ads.Also included a few resources on side that I found helpful.
The creation of the credit score models of a lending company.
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
Machine Learning, Linear Regression, ANOVA, K-nearest Neighbor, Classification
Hello world for ML 🍄
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
Sentiment analysis on Rotten Tomatoes Dataset
Integrating NNK evaluation with VISSL framework
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.
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