Sameh Sobhy Ahmed Kishta (@Skishta)
github

Skishta

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  • Stars
    star
    22
  • Global Rank 603,566 (Top 21 %)
  • Followers 3
  • Registered about 5 years ago
  • Most used languages
    Python
         94.7 %
    Rebol     5.3 %
  • Location 🇪🇬 Egypt
  • Country Total Rank 1,334
  • Country Ranking
    Rebol     1
    Python
         162

Top repositories

1

Project-4-Employee-Experiance-using-regression

a project that uses real data set from sheet excel of employees and their salary in a company, and then predicting using a linear regression to estimate exact salary of each employee.
Python
2
star
2

Project-8-Titanic-Ship

build a predictive model that answers the question: “what sorts of people were more likely to survive using passenger data (i.e. name, age, gender, socio-economic class, etc.)
Python
1
star
3

Project-10-Amazon-Fire

The Amazon project is an attempt to analyze Amazon forest fires and to know when to increase fires and areas where fires increase And the relationship between temperature and fire
Python
1
star
4

datasciencecoursera

this is for course project on the last of Data Science Tool Box
Rebol
1
star
5

testing-r-project2

testing myself
1
star
6

Third-Session-In-Python-Spyder-IDE-

Third SESSION In How to use Python on Spyder IDE
Python
1
star
7

Fifth-Session-In-Python-Spyder-IDE-

FIFTH SESSION In How to use Python on Spyder IDE { For & While LOOPS }
Python
1
star
8

Project-1-Employee-Experiance

Project about Ordering Employees according to their Experience
Python
1
star
9

SEXTH-Session-In-Python-Spyder-IDE-

SEXTH SESSION In How to use Python on Spyder IDE(OOP)
Python
1
star
10

Eight-Session-In-Python-Spyder-IDE-

Eight SESSION (Pandas Liberary) & Project using Pandas & Numpy
Python
1
star
11

First-Session-In-Python-Spyder-IDE-

FIRST SESSION In How to use Python on Spyder IDE
Python
1
star
12

Second-Session-In-Python-Spyder-IDE-

Second SESSION In How to use Python on Spyder IDE
Python
1
star
13

Project-7-Social-Network-Ads

dataset about the effective of the ads on social media. By detecting gender, age, salary and then run regression on response variable purchased. This response variable has two value 0 (no purchased) and 1 (purchased successfully). Predict the response value for the testing set. Report your confusion matrix for the prediction.
Python
1
star
14

Fourth-Session-In-Python-Spyder-IDE-

FOURTH SESSION In How to use Python on Spyder IDE { List & Nested if }
Python
1
star
15

Seventh-Session-In-Python-Spyder-IDE-

SEVENTH SESSION (Numpy Liberary) & Project using Numpy
Python
1
star
16

Project-3-Library-management

project that manages and stores books information electronically according to student’s needs
Python
1
star
17

Project-2-Spam-Mail

Spam is one of the major annoying threats to email users. In 2013, 69.6% of all email flows were spam. Links in spam emails may lead to users to websites with malware or phishing schemes, which can access and disrupt the receiver’s computer system. These sites can also gather sensitive information. Additionally, spam costs businesses around $2000 per employee per year due to decrease productivity. Therefore, an effective spam filtering technology is a significant contribution to the sustainability of the cyberspace and to our society.
Python
1
star
18

Project-6-50-startups-Rnd

a project that uses real data set from sheet excel of 50 startups their spend in R&D, administration, marketing spend, state of the headquarters, and then predicting using a Multiple Linear Regression to estimate profit vs Rnd spend.
Python
1
star
19

Project-5-Employee-Psitions-using-regression

a project that uses real data set of employees and their salary in a company,and then predicting using a linear regression to estimate each employee position according to Their Salary.
Python
1
star
20

Project-9-Real-State-Project-AirBnb

The project mainly focus on three parts: 1-Scraping data from Airbnb website. 2-Dataset Cleanup and pre-processing. 3- Data Visualization and Trend Analysis, The aim of the project is to optimize the price of new house listing, analyzing how other people priced in surrounding areas, relative to dimensions such as locations, amenities, reviews, number of beds, etc.? How to set up price in a more competitive way?
Python
1
star