Mauro Small, M.S's repositories
NLP-Sentiment-Analysis-of-Amazon-Reviews
Built a highly-accurate NLP sentiment classifier using real Amazon reviews.
NLP-Multi-Labeled-Text-Classification
Developed a text classifier using an LTSM RNN
Facial-Expression-Detection
Video Classification and Object Detection with Deep Learning and Open CV
Facial-Expression-Recognition
Created a web application that recognizes facial expressions
Deep-Learning-vs-Random-Forest
I created a notebook that compares a Deep Learning with a Random Forest model to making a prediction using Tabular Data
Predictive-Modeling-for-Building-Energy-Loads
Predicting heating and cooling loads in buildings using building geometry.
Python-scripts
A small collection of python scripts I've made.
Exam-scores-prediction
Created an end-to-end machine learning project with a CI/CD pipeline deployed on the AWS Cloud.
Histopathologic-Cancer-Detection
I created an image classifier that detects cancerous tumors in human tissue with 97.5% accuracy.
Image-Segmentation
A notebook where I explain how to do an image segmentation classification using the fastai library.
Intent-Classification-for-Virtual-Assistant
Created a web-based classification model that categorizes user text inputs into predefined intents
RAG-App-with-Amazon-Bedrock
Created a Retrieval Augmented Generation (RAG) application with LangChain and LLMs from Amazon Bedrock.
RAG-Application-with-LangChain
Developed a Retrieval-Augmented Generation application using LangChain and OpenAI that takes a query, retrieves information from documents and generates a response.
Vacation-Request-and-Management-API
Designed a RESTful API using Flask that allows employees to make vacation requests and managers to process them.
AI-Chatbot-Application-Powered-by-an-LLM
Created a chatbot application powered by a Generative AI LLM
crocodiles-vs-alligators-classifier
Built a web application that can recognize the differences between an alligator and a crocodile.
CS224N-2019
My completed implementation solutions for CS224N 2019
House-Prices
Supervised learning model using Random Forest Regression to predict the sales price of a house.
Image-Recognition-Bus-Type-Classification
Built a Convolutional Neural Network for image classification using PyTorch
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
NYC-SAT-Scores
This Jupyter notebook finds the correlation between SAT scores and other statistics for highschool students in NY city.
Planets-Image-Classifier
Developed an image classifier for planets in our solar system using PyTorch and a Resnet-34 CNN.
Sallie-Mae-Mortgage-Loans
A logistic regression model that determines whether a customer will foreclose on his or her mortgage.
Shopping-Mall-Customers
Created an unsupervised learning algorithm that uses K-means clustering to find shopping patterns for the customers in a mall.
simple-maths
Simple math functions in (mostly) python
Titanic
An algorithm for the Kaggle Titanic competition.