drrazan Goto Github PK

-lighthouse-data-notes

bash_tutorial

drrazan

Config files for my GitHub profile.

house-sales-in-king-country--ml-project

I use various regression methods and try to predict the house prices by using them. As you can guess, there are various methods to suceed this and each method has pros and cons. I think regression is one of the most important methods because it gives us more insight about the data. When we ask why, it is easier to interpret the relation between the response and explanatory variables. I start with a very simple model and continue with more complex ones after visualizing some features and a data mining process. I try to find the best regression for this dataset. On the other hand, if you are looking for more theory and do not want to use built in functions, I recommend you to check my other kernel k-NN, Logistic Regression, k-Fold CV from Scratch.

javascripting

git remote add origin <URL>

javascripting-

lighthouse-js-fundamentals

midterm-project

my-resume

pandas_exercise

Exercises to practice Pandas

pipelines_and_persistence_exercise

probability_and_statistics_exercise

Exercises for probability and statistics in the bootcamp

python-practice

Basic concepts and usage of python libraries.

python_exercise

Exercises for Week 1 Day 2

sql_exercise

This repository contains SQL exercises for Data Bootcamp

tata-global-forcasting

Forecasting closing stock prices from a dataset of past 'Tata Global' stock data obtained from Quandl. Applying various ML algorithms including Linear Regression, KNN, ARIMA and, most successfully, a LSTM deep neural network. (Keras, TF backend) achieving an impressively low rmse.

vagrant-terminal