Prediction model for kaggle's Titanic survival prediction machine learning competition (over 80% accuracy)

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

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

Mini-Project for the Data Warehousing and Data Mining lab at MIT, Manipal

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…

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

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

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

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!

Predicting MLB game winners based on past performance

using deep learning (CNN) to classify flower species

The main target of this study was to predict the price of a house using information about several characteristics of it. In addition, a classification problem was also raised: dividing into cheap and expensive houses. Many Machine Learning Models have been used (up to 13).

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.

Classifying customers based on their credit scores helps banks and credit card companies immediately to issue loans to customers with good creditworthiness. A person with a good credit score will get loans from any bank and financial institution. There for using Machine Learning Algorithms to predict credit score.

Hadoop & Spark Machine Learning

A supervised learning project to predict whether an individual makes more than $50,000 a year or not.