marclindergit Goto Github PK

admission_data

atm_logging

This Python code demonstrates how to use the logging module to create a simple bank account management system.

book_recommender

In this project, I explore the process of building and fine-tuning a recommender system using the Surprise library in Python.

boosting

By utilizing a census dataset in conjunction with boosting algorithms, I predict whether an individual's income exceeds $50,000.

breast_cancer

Simple K Nearest Neighbors Classification using sklearn Dataset

broncos_restaurant_bot

I employ techniques such as tf-idf scoring, word embedding models, and custom user-defined functions to create an interactive chatbot capable of answering a wide range of questions from restaurant diners.

cats_transfer

I use an image classifier in comination with transfer learning with pre-trained neural networks. The main goal is to leverage the knowledge learned by networks trained on the extensive ImageNet dataset to achieve impressive accuracy in distinguishing between cat and dog images.

census_income_lr

Creating a logistic regression model to classify income (>50K or <=50K) using census data from the '94 Census database.

census_income_rf

In this project, I will build and fine-tune a Random Forest model for income classification based on census data from the 1994 Census database. The primary goal is to predict whether an individual earns more than $50,000 annually using this dataset.

cifar10_cnn

Training a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 database. The CIFAR-10 dataset consists of small color images grouped into ten classes, including objects like airplanes, automobiles, birds, cats, and more.

classic_texts

n this project, I dive deep into the world of Natural Language Processing (NLP) using the Natural Language Toolkit (NLTK). My primary objective is to analyze a text document and extract meaningful insights by tokenizing text, performing part-of-speech tagging, and syntactic parsing.

concurrent_programming

This Python script provides examples of different approaches to calculate the average of multiple lists using sequential, asynchronous, multithreading, and multiprocessing techniques.

email_similarity

In this project, I will be utilizing scikit-learn's Naive Bayes implementation to work with various email datasets for text classification.

espn_stats

flags

This project aims to develop a decision tree model to classify countries' continent ("landmass regions") based on flag characteristics. The primary goal is to predict whether a country belongs to either Europe or Oceania based on flag attributes.

galaxies

In this project, I employ Convolutional Neural Networks (CNNs) to classify galaxies based on image data from the Galaxy Zoo dataset.

generative_chatbot

hb_lighthouse_report_in_r

This R-code will show you how to recreate the typical lighthouse/sawtooth report content and structure of a hierarchical Bayes logistic regression analysis using data collected with choice-based conjoint design

heart_failure

hierarchical_classes

This Python project demonstrates the use of hierarchical classes and object-oriented programming (OOP).

life_expectancy

life_expectancy_gdp

I'll explore the captivating link between GDP and life expectancy across six countries. Using data from the World Health Organization and World Bank, I'll analyze, visualize, and discover insights that reveal the fascinating connections between these factors.

logic_gates

In this project, I will delve into the world of perceptrons, aiming to model the fundamental building blocks of computers known as logic gates.

machine_translations

This repository contains Python code for implementing a Neural Machine Translation (NMT) system.

marclindergit

ml_pipelines

This project is focused on building a classification model to predict the survival status of patients with bone marrow disease while streamlining the data preprocessing and model building process through pipelines.

mnist_mlp

Training a Multi-Layer Perceptron (MLP, i.e., modern feedforward artificial neural network, consisting of fully connected neurons) to classify images from the MNIST database hand-written digit database.

multi_chatbot

The Multi-Topic Chat Bot is a simple Python program that engages in conversations with users on various topics, including football, movies, and music. The bot initiates conversations, responds to user queries, and provides information related to the selected topic.

mystery_friend

In this project I will identify the mysterious sender of an an anonymous postcard using natural language processing and machine learning techniques as well as past writings from three potential senders: Emma Goldman, Matthew Henson, and TingFang Wu.

news_content

In this project, I'll leverage Natural Language Processing (NLP) and the power of term frequency-inverse document frequency (TF-IDF) to analyze news articles.