Name: Scott Miner
Type: User
Company: @mhanyc
Bio: MSDA in AI/ML | Expert in Computer Vision, NLP, CI/CD | Skilled in Python, R, SAS, SQL, C++, & Web Dev | Data Science & System Engineering Professional
Location: Denver, CO, USA
Blog: https://scottminer.netlify.app
Scott Miner's Projects
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.
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.
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.
A* search algorithm implementation for solving 8-puzzle problem. Includes code modularization, performance optimization and solvability checking features.
:zap: Dynamically generated stats for your github readmes
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.
Iris flower classification using k-Nearest Neighbors (k-NN) algorithm in Python. Simple, effective ML model for species prediction.
A Naive Bayes implementation predicting golf play based on weather conditions, utilizing machine learning techniques.
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.
Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.
My GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development, Data Analytics, and AI/ML. Get in touch for collaboration!
🟩⬜ Generates a snake game from a github user contributions graph and output a screen capture as animated svg or gif
Universal-EDA: Simplify Exploratory Data Analysis with versatile data loading & analysis tools for various datasets & CSVs.
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