Discover @MilaBooot Open Source projects

Menilik Eshetu (@MilaBooot)

MilaBooot

Stars
125
Global Rank 176,554 (Top 7 %)
Followers 14
Following 4
Registered about 5 years ago
Most used languages

Python
50.0 %

Jupyter Notebook
35.0 %

C++
5.0 %

HTML
5.0 %

Processing 5.0 %
Location 🇪🇹 Ethiopia
Country Total Rank 28
Country Ranking

Jupyter Notebook
2

Processing 2

Python
8

C++
17

HTML
145

Radar-System-Detection-with-GUI

Radars send out electromagnetic waves similar to wireless computer networks and mobile phones. The signals are sent out as short pulses which may be reflected by objects in their path, in part reflecting back to the radar. In that same way, the pulse reflects off precipitation and sends a signal back to the radar.

MachineLearning-Regression-simple-linear-multiple-linear-polynomial-regression-NonLinear-regressio-

MachineLearning Regression(simple-linear,multiple-linear,polynomial regression, NonLinear regression)

Jupyter Notebook

Motion-Detection-Estimation--Optical-Flow-using-Python

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene.

Image-To-Pencil-Sketch-with-Python

Machin-Learning_Classifications-Projects-KNN-DecissionTreeSVM-Logistic-

Machine Learning Project Using Classifications (KNN, DecissionTree, SVM, Logistic Regression)

Jupyter Notebook

Machine-Learning-Recommender-systems-Collabrative-content-based-

Machine Learning Recommender systems( Collabrative, content based)

Jupyter Notebook

Read-Handwriting-Digit-with-Neural-Network

MilaBooot-LGMVIP-DataScience

Jupyter Notebook

Live-web_cam-image-capturing

Live web_cam image capturing using opencv2

Chat-Bot-A.I-Jerry

Meet The Real Time Chatbot called Jerry completely made from C++ and Collection of Difference Conversation & Scripts .See and Just have Fun with Jerry...

Next-Word-Prediction-ML

Corona-Facial-Face-Mask-Detection

Real Time Using Machine Learning and Image Processing classify if people a wear face mask or not This Project Does Not Use Any Training Data-Set it predict using Algorithim. This Project can be Upgraded to do More thing & will Do it in future.

TIC-TAC-TOK

simple tik-tak-tok game for every one

Terrorism-Data-Analysis

In this project I performed a exploratory data analysis on the Terrorism dataset which includes of data cleaning , data manipulation, data preprocessing , data visualization Some plots which I used for visualizing the dataset are Histogram , Barplot , Boxplot, Heatmap , Scatter plot , Pairplot ,Regplot etc. 1.Country with the most attacks: Iraq 2.Regions with most Attack:Private Citizens & Property. 3.Year with the most attacks: 2014 4.Month with the most attacks: 5 5.Most Attack Types: Bombing/Explosion 6.City with the most attacks: Baghdad

Jupyter Notebook

CODE-BLOCK-Theme-Change-pro-v2.0

This software is designed to update your current c++ programing software( codeblocks-16.01mingw-setup_2 ) from the current White thems to the blacke thems and V.v

Machine-Learning-Clusterting-K-Means-Hierarchical-DBSCAN-

Machine-Learning Clusterting (K-Means, Hierarchical, DBSCAN)

Jupyter Notebook

simple-facial-Criminal-detection-live-cam

simple Facial & Criminal Detection From Live Camera Video and Photo.Multiple Camera at One.First Run Faces-train.py Then Run Faces.But Have to Add More Images For Training Inside Images Folder Inside Another Different Folders.One Folder Name For One Persons Different Photos. Requirements Are openCV2,Numpy,Pickle

Breast-Cancer-Screening-and-Detection-Using-PYQT5-GUI

What is the difference between benign and malignant cancer? Tumors can be benign (noncancerous) or malignant (cancerous). Benign tumors tend to grow slowly and do not spread. Malignant tumors can grow rapidly, invade and destroy nearby normal tissues, and spread throughout the body. The USPSTF recommends that women who are 50 to 74 years old and are at average risk for breast cancer get a mammogram every two years. Women who are 40 to 49 years old should talk to their doctor or other health care professional about when to start and how often to get a mammogram. this Project filling the details to Check the class Of Breast Cancer by using PYQT5 GUI. in the final result it train from CSV files and tell if it is Curable Cancer or Non-Curable with POSITIVE results. Importing the Nessacery library is important for correct and accurate results

Search-Engine-using-python

A simple search engine just like google where you can search anything

Jupyter Notebook

newppaper_craweling_searching

search for quiery

E-commerce_with_django_api

milabooot.github.io

Redefining Cardano Access and Innovation for Global Developer, Educator, and Researcher