Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera
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Updated
Apr 27, 2017
Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera
Linear Regression Theory and Practice.
Identification of unexpected events in a dataset from any industry is significantly important to be capture outliers such that the data so obtained can be used for analysis as normal and expected.
A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.
A multi-variate linear regression model that predicts real estate prices.
Reuseability, multivariate analysis, computational chemistry, Rmarkdown
Multiplevariate Linear Regression, Gradient Descent with Python
R-based project that utilizes multivariate analysis of Spotify Metrics; specifically multiple multivariate regression and MANOVA.
This project utilizes data on current weather forecast and energy consumption within a particular area to predict when to turn your thermostat and other devices on/off. Along with the Raspberry Pi it uses a temperature sensor as a peripheral.
Implementation of Multivariate Linear Regression algorithm using Stochastic Gradient Descent technique to predict the quality of white wine using Python.
Predicting Super Bowl final scores in R using supervised machine learning
my projects during study on udemy course "Complete 2020 Data Science & Machine Learning Bootcamp"
Linear Regression with univariate and multivariate model to predicts sales value based on different features.
Linear regression model using gradient descent from scracth.
Midterm group project for a machine learning course. The goal is to predict films' IMBD score using multivariate regression.
A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries
Shifts gears through various data science techniques to analyze and visualize bike sharing trends, using the UCI Bike Sharing Dataset.
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