Repository for Data Analytics project

House Price Prediction - flask

Code for logistic regression classification from scratch. This project helps one understand the inner workings of this classification algorithm.

Summarization module for the project Patient Forum Miner (with TNO)

A system that predicts crude oil price based on GDELT dataset

Examples of Linear Regression and three Gradient Descent methods (Batch, Stochastic and Mini-Batch)

Multivariate Linear Regression

Linear Regression with TensorFlow 2 (using Mini-Batch Gradient Descent)

It's always amusing how machine learning works. Most of us use well-known frameworks such as scikit-learn. But what if we want to know the real working of some algorithms?. Here, I've developed my own small repository of a few machine learning algorithms using only Numpy and Pandas

A simple Linear Regression exercise

Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera

Machine learning algorithms in Octave

Machine Learning models based on Tensorflow

Using several machine learning algorithms and models primarily in R, upon several data sets. Using EDA on these datasets and visualization with tidyr, dplyr and ggplot2

Investigating fairness in city services via linear regression

Predict body weight using brain weight-Implementing deep learning

Análise de dados de medidas de ângulos de torção femoral e impactos fêmoro-acetabulares