Scott Miner's repositories
healthcare-expert-system
Rule-based healthcare expert system designed using Pyke and Python. The project focuses on heart failure telemonitoring, aiming to enhance patient self-care and clinical management.
sequence-prediction-ann
Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.
boston-housing-analysis
Boston Housing Analysis: This repo presents an in-depth analysis of the Boston Housing dataset using Linear, Lasso, and Ridge Regression models. It explores data, preprocesses features, visualizes relationships, and evaluates model performance.
eight-puzzle-solver
A* search algorithm implementation for solving 8-puzzle problem. Includes code modularization, performance optimization and solvability checking features.
naive-bayes-golf-prediction
A Naive Bayes implementation predicting golf play based on weather conditions, utilizing machine learning techniques.
avl-tree-implementation
AVL Tree Implementation in Python: This repository provides a comprehensive implementation of an AVL tree (balanced binary search tree) with Node and Tree classes, build_tree() method, and insert() and delete() methods. The code demonstrates AVL tree construction, node insertion and removal, and tree rebalancing for maintaining optimal performance.
back-translation-text-augmentation
This repo offers a Python script using NLPAug library & RTT to augment text datasets. It processes TXT files in "data/" folder, translating text and creating augmented versions. Augmented data enhances NLP tasks like chatbot training & text classification. Includes overview of techniques, applications & implementation.
iris-knn-classifier
Iris flower classification using k-Nearest Neighbors (k-NN) algorithm in Python. Simple, effective ML model for species prediction.
sminerport
🌟 Scott Miner's GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development/Data Analytics/AI/ML. Get in touch for collaboration!
universal-EDA
Universal-EDA: Simplify Exploratory Data Analysis with versatile data loading & analysis tools for various datasets & CSVs.
word2vec-skipgram-tensorflow
Word2Vec Skip-Gram model implementation using TensorFlow 2.0 to learn word embeddings from a small Wikipedia dataset (text8). Includes training, evaluation, and cosine similarity-based nearest neighbors
PreProcessR
PreProcessR: A comprehensive R package for efficient data preprocessing. Key features include outlier detection with calculate_IQR, data visualization via createHistograms, and optimal lambda estimation for Box-Cox transformations with estimateBoxCoxLambda. Ideal for preparing datasets for analytical modeling, enhancing data analysis workflows.