Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin

This is machine learning loan status classifier web application design & developed using Python HTML CSS JavaScript

multivariate CTG dataset of 2126 pregnant women obtained from University of California Irvine Machine Learning Repository

Using R Language to predict whether a user will download an app after clicking a mobile app advertisement. Click on the link below to see more details!

A deep learning, image classifying project for flower species using PyTorch and Jupyter Notebooks

Análises de Predições de Vendas e Predições de Subscrições de Serviço. A base Retail foi utilizada nos modelos de regressão para previsão de vendas e a base marketing foi utilizada no modelo de classificação para previsão de subscrições do serviço. No trabalho como um todo foram utilizados os modelos de Regressão Linear e Logística, Árvore de De…

Script for Human Activity detection that is based on Kaggle's Human Activity Recognition Dataset Using different methods

Machine learning model for Covid-19 and Flue disease classification

Perform two distinct simple trading strategies with various classification models in Python. Generate 'buy' and 'sell' signals based on feature variables for the MSFT security. Signals are selected as the target/label variable used by classifiers.

Hadoop & Spark Machine Learning

EDA and Logistic Regression on demographic factors influence patient appointment booking

Using Python, I explored and engineered data from Enron email metadata and financials, building and tuning a number of scikit-learn classification models to detect persons of interest.

This repository describes the implementation of Machine Learning techinques using the Statsmodels pacakge

Predicting MLB game winners based on past performance

Developed multiple data sets using Classification and Regression techniques to find My Airbnb NY housing price project uses given feature variables to predict housing price. I also compare my predictions to the given target variable, which is the housing price, to check if my prediction fits with the actual price.

This is the final project submission for the course Data Wrangling in R, and deals with predicting song genre based on audio features.

Model klasyfikacyjny wykorzystujący algorytm Random Forest napisany w języku R.

using deep learning (CNN) to classify flower species