Ai MinerPool

The repository contains a set of machine learning supervision algorithms implemented to better understand the fundamental concepts behind machine learning. These algorithms aim to facilitate the development of an in-depth understanding of the underlying principles and techniques of machine learning.

The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights. Concepts such as feature representation using bag of words and TF-IDF are demonstrated, clustering and supervised machine learning algorithms like regression and others are used on a DTM

🌠🌈Classificação de Corpos Celestes usando suas características espectrais🌐☄️

The code related to my M.Sc. Data Science thesis at the University of Helsinki.

A website visualising various classification algorithms

This repo is for finding whether a PDF file in json format contains virus or not by classifying it into Malicious or Benign using Classification algorithms.

Machine Learning.

This repository contains a prediction model for estimating the Overall Rating (OVA) of FIFA 21 players based on various attributes available on SoFIFA. The model utilizes data cleaning, feature selection, and a linear regression algorithm to make predictions.

These are the basic algorithms of Supervised Machine Learning. Linear Regression and Logistic Regression. Here you will find manual implementation of such topics.

Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)

Personal Exploration: Time Series Analysis + Forecasting with Machine Learning

My Python machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities for London, UK.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

WIP project to use machine learning to play Snake!

Supervised Machine Learning Algorithms :

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

Supervised-method--Decision-trees--algorithms-Diabetes-prediction if either one has diabetes or not

UArizona DataLab Workshops

A machine learning model using logistic regression to predict loan defaults based on financial data. The purpose of the analysis was to assist in risk assessment and decision-making processes in the lending industry.