Common machine learning algorithm implementations
-
Updated
Jun 6, 2024 - C#
Common machine learning algorithm implementations
IBM Data Science Professional Certificate
Feature Engineering, Regression, Classification, Model Explanation. My 2 biggest projects exploring the link between economic indicators and U.S. presidential election results.
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
Machine Learning Algorithms
Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.
AIML Projects
Enhancing Patient Care through AI-Driven Disease Prediction
This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.
Machine Learning Stock Price Predictor Mobile App
Local RAG using LLaMA3
Combat misinformation and fake news by accurately predicting the truth of the article to prevent the spread of harmful information that could lead to confusion, panic, or societal harm.
Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.
There are many different types of SVMs in this repository.
Practice Assignments for Data Science Coursework
Implementing SVM's using pandas and sklearn in python
This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.
Add a description, image, and links to the support-vector-machines topic page so that developers can more easily learn about it.
To associate your repository with the support-vector-machines topic, visit your repo's landing page and select "manage topics."