Muhammad Yousef (@Muhammad-Yousef)
  • Stars
    star
    41
  • Global Rank 392,118 (Top 14 %)
  • Followers 55
  • Following 38
  • Registered over 9 years ago
  • Most used languages
    C++
    7.7 %
    C
    7.7 %
    Python
    7.7 %
  • Location 🇪🇬 Egypt
  • Country Total Rank 717
  • Country Ranking
    C
    467
    Python
    663
    C++
    833

Top repositories

1

Wattary-Core

Wattary: A Conversational AI Agent that interacts with humans and learns from their behaviour.
Python
3
star
2

CS-2413-Artificial-Intelligence-Fall-2019

Jupyter Notebook
3
star
3

MNIST-Handwritten-Digits-Recognition

Applying K-Nearest Neighbors To The Famous MNIST Dataset
Jupyter Notebook
2
star
4

Predicting-Real-State-Prices

A Linear Regressor that Predict Rent based on Street-Easy Dataset
Jupyter Notebook
2
star
5

Clustering-The-Iris-Dataset-Using-K-Means-A-Native-Approach-With-Python-Implementation-From-Scratch

Developing The K-Means Clustering Algorithms Step-By-Step And Applying It To The Famous Iris Data Set.
Jupyter Notebook
1
star
6

Predicting-Economic-News-Articles-Tone-and-Relevance-to-The-US-Economy

Jupyter Notebook
1
star
7

Muhammad-Yousef

1
star
8

An-Exploratory-Data-Analysis-For-An-Educational-Survey

Jupyter Notebook
1
star
9

Data-Structures-and-Algorithms

C
1
star
10

Iris-Dataset-Classification

Bench-marking different machine learning classification algorithms on the famous iris data-set.
Jupyter Notebook
1
star
11

CS412-High-Level-Programming-Language-Java---Fall-2018

Jupyter Notebook
1
star
12

Yelp-Restaurant-s-Rate-Predictor

A Linear Regression model built on the famous rating service (Yelp!) for predicting restaurant's rating.
Jupyter Notebook
1
star
13

Wattary-HW-Interface

C++
1
star
14

Getting-Insights-About-The-Tone-of-Classic-books-A-Case-Study-For-Homer-s-The-Illiad

This project is nothing but applying most common NLP techniques in order to gain some insights about the tone of Homer's The Iliad without a formal read.
Jupyter Notebook
1
star