evelynda1985 Goto Github PK

followers: 5.0 following: 3.0 repos: 195.0 gists: 1.0

Type: User

Bio: Java/J2EE, JavaScript, React, Web Services, Microservices, SQL, Hibernate, Maven, Gradle, and Spring boot, Mulesoft, RAML, Jenkins, Dataweave.

evelynda1985's Projects

10_days_of_javascript-hackerrank

Solutions to HackerRank's 10 Days of Javascript challenge.

186-linearregression-satandgpa

Using Jupiter with pd, np, plt, and sm to create a linear regression to calculate the dependent variable GPA on base in SAT. Using the OLS Model with Least squares method!

187-linearregression_satandgpa_seabornandp-value

Using Jupiter with np, pd, sns, plt, sm to create a linear regression on-base SAT for calculate GPA, and playing with a significant value p-value = 0.05 and see how insignificant can be in this case. Using the OLS Model with Least squares method!

187-simplelinealregression_realstate

Solution - You are given a real estate dataset. Real estate is one of those examples that every regression course goes through as it is extremely easy to understand and there is a (almost always) certain causal relationship to be found. The data is located in the file: 'real_estate_price_size.csv'. You are expected to create a simple linear regression (similar to the one in the lecture), using the new data. In this exercise, the dependent variable is 'price', while the independent variables is 'size'. Good luck!

194-multiplelinearregression-r2penalty

Model OLS method Least Squares, GPA on base in SAT and random data that is penalize for R-squared

195-multioplelinealregression-realstate

Multiple linear Regression, model OLS, method Least Squares, real state data set with price, size, and year variables

203-multiplelineraregressionwithsignificantvars

Multiple linear Regression, model OLS, method Least Squares, using SAT and attendance variables for calculating the GPA prediction

204-multiple-linearregression_realstatewithseaview

Multiple linear regression, with categorical data, model OLS, variables included price, year, with sea view or not, and size

205-mulitplelinerregression-predictionsgpa

Predict GPA on based in attendance and SAT results. Using multiple linear regression, model OLS

209-simplelinearregressionwithsklearn

Predict the GPA from students according to their SAT score. Using Simple Linear Regression with Sklearn.

211-simplelinearregression-realstate-sklearn

Real state exercise for calculating the price according to the size. Using Simple Linear Regression with Sklearn

213-adjusted-rsquared-sklearn

Predict GPA of students on base in SAT score and dummie variable, calculating adjusted r-squared using sklearn

214-adjusted-r2-sklearn-multiplelinearregression

Create a function to calculate the adjusted R2 for a predict the GPA score on base in dummie var and SAT score, using Sklearn

215-multiplelinerregressionf-regression

Calculate F-regression for a GPA students base on theri SAT score and a random variable. Using sklearn

216-multiplelinearregression-p-values

Calculate p-values using sklearn and custom function for calculate GPA on base random var and SAT score

217-multiplelinearregression-summarytable-p-values

p-values for a multiple linear regression to Predict GPA on base SAT score and random variables. Using sklearn

218-multiplelinearregression-realstate-p-values

p-values for a Real state exercise for calculating the price on base year and size. using Sklearn

221-multiplelinearregression-standarization

Calculate GPA base on SAT score and random var. Standardizing the data for calculating predicitions, R2, Adjusted R2, p-values, and understand the value of a variables

222-multiplelinearregression-realstate-sklearn

Real state exercise using year and size for price prediction. Using Sklearn, calculated the p-values, R2, adjusted R2 and make conclusions about the analysis