A collection of some of my R Projects
Machine Learning (ML) by using Python
A project based on FIFA players dataset from www.kaggale.com
I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just used NumPy.
Machine learning code includes various regression techniques. By ↃK.
Regression projects including simple linear and logistic regression implemented in both Python and R.
Predicting number of confirmed, death and recovered patients because of the covid-19 virus for next the day with the help of Simple Linear Regression Machine Learning model.
Simple regression on Height and weight
Use Boston data to carry out simple Regression, LASSO polynomials, Decision Trees and Random Forest techniques.
This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.
Some R Projects - (Chi Square, K-Means, Sentiment Analysis, Simple Regression, T-Test)
Repositório contendo os códigos da disciplina Métodos Quantitativos Aplicados à Administração de Empresa I, ministrada pela professora Ana Amélia, na Escola de Artes, Ciências e Humanidades (EACH) na Universidade de São Paulo (USP)
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