ezgisubasi/DualCoreCPU ezgisubasi/DualCoreCPU

  • Stars
    star
    6
  • Rank 2,539,965 (Top 51 %)
  • Language
  • Created over 5 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ezgisubasi/DualCoreCPU
github

ezgisubasi

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Simple Dual Core CPU

More Repositories

1

turkish-tweets-sentiment-analysis

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.
Jupyter Notebook
60
star
2

breast-cancer-gene-expression

This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
Jupyter Notebook
38
star
3

rasa-travel-chatbot

Here is my Senior Design Project that I implemented to graduate from Computer Engineering. It is a chatbot made in RASA and helps the user to plan their vacation in the Turkish language. In order to plan the user's vacation, it provides reservations by asking various questions for hotel, flight, or event.
Python
29
star
4

kmeans-clustering-from-scratch

This program makes predictions for 3 datasets by using an implementation of the K-means algorithm both from scratch and the sci-kit learn library. The K-means algorithm used in this program only works for k 3, 4, and 6 values.
Python
11
star
5

exploratory-data-analysis

It is a workshop for Data Analysis and Training a Model. It includes exploratory data analysis of the Melbourne house dataset and model training with an accuracy score.
Jupyter Notebook
11
star
6

deep-learning-examples

Code exercises that include Deep Learning models are here!
Jupyter Notebook
9
star
7

solar-power-generation-enerjisa-datathon

Description and Read.Me will be added soon! Only code is available.
Jupyter Notebook
8
star
8

knn-from-scratch

In this program, the KNN algorithm is written from scratch using the inverse distance weighted method and predicts the classes of test data. Then the results of KNN written from scratch and scikit learn are compared and the decision boundaries are plotted.
Python
8
star
9

decision-tree-from-scratch

This program compares the scratch-written version of the decision tree algorithm with the scikit-learn version. Scratch one also includes entropy, gini, max_depth and min_samples as hyperparameters and it evaluates accordingly after the tuning process.
Python
7
star
10

ezgisubasi

7
star
11

ObjectCounting

Counting number of the objects from an image with using TSF and Levialdi Algorithms and comparing their speeds.
Python
7
star
12

linear-regression-from-scratch

This code performs linear regression with one variable using a stochastic gradient descent algorithm which fits a line to a given dataset. In this program, analytical solution and stochastic gradient descent are compared, and the loss in each iteration is measured with MSE.
Python
7
star
13

StudentSurveyAnalysis

The program reads all student data according to MEF University from Excel file (or files), its analysis, visualize some results with graphs and generate reports.
Java
6
star