Repository for Data Analytics project
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Updated
Apr 4, 2023 - HTML
Repository for Data Analytics project
House Price Prediction - flask
In this project, I learned data manipulation, analysis with statistics and machine learning, also visualization and scaling with big data tools such as mapper and reducer.
Basic excercises of NLP, Numpy, Pandas, Linear Regression
Homework assignments for CS657 mining massive datasets. Assignments are in Spark and Hadoop using the Python API. Assignments include wordcount stuff, association rule mining, linear regression, and recommender systems.
Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field.
Implemented a linear classifier using Single Perceptron
A prototype of a HTML5 linear regression service
Homeworks from CSCE 633 Fall 2017
Cria um gráfico de regressão linear baseado nos dados recebidos
Understand and visualize ML Models here!
Simple Linear Regression on Swedish Auto Insurance Dataset and Pizza Franchise Dataset and the calculation of corresponding Root Mean Squared Error.
Statistical Learning with R
I built a linear model predicting housing prices for a certain urban area of the U.S. using forward selection and cross validation methods.
Workshop material for week 2
Regression models using scikit learn library
Stanford's Machine Learning course on Coursera
Regression for Boston Housing price prediction: Linear, Multiple, Robust, OLS, Regularization (Ridge-l1 norm, LASSO-l2 norm, ElasticNet)
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