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$10 USD / hour
Flag of FRANCE
gardanne, france
$10 USD / hour
It's currently 11:57 AM here
Joined July 13, 2019
0 Recommendations

Bamouh E.

@Arionos

 5.0 (6 reviews)
2.7
2.7
100%
100%
$10 USD / hour
Flag of FRANCE
gardanne, france
$10 USD / hour
100%
Jobs Completed
89%
On Budget
89%
On Time
14%
Repeat Hire Rate

Machine Learning/AI - Data Scraping Expert

I am a computer programmer. I am writing scripts in Python for 6 years now. Also I am writing scripts to automate things in WhatsApp, email .. I built many projects in python, automation and scraping. I build machine learning models. i built object detection in real time. I deliver Quality work on time without any error, Assured your satisfaction.
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Portfolio

6426872
I made a python script using automation which can send message to number which are not even saved in your phone contacts. How It wokrs : It can send text messages, images, videos, document and any other media. You just have a list of phone numbers in excel file or csv. Benefits : Its very useful for marketing, because it can save lots of time, money and efforts.
WhatsApp Bot
I made a python script using automation which can send message to number which are not even saved in your phone contacts. How It wokrs : It can send text messages, images, videos, document and any other media. You just have a list of phone numbers in excel file or csv. Benefits : Its very useful for marketing, because it can save lots of time, money and efforts.
WhatsApp Bot
6427595
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
6427400
General Project Guidelines: Setup the project dataset : - Then write a Python script to split the data into training and test set (80% training, 20% test). - The Python script takes the dataset as input and create two folders (training, test). - It will then RANDOMLY move images to these folders based on 80-20 ratio (Please do not move the first 80% images to training as it will create a skewed training/test set). - Use the dataset of 20 users - Resize images to 64X64 pixels - Convert images to gray scale - Convert images to feature vector (by reshaping the image matrix to linear array) - Add a label with each feature vector - Use one of the feature extraction technique (original pixel values etc..) - Select an appropriate Machine Learning
Machine Learning Model and Data Annotation (Arabic Datasets)
General Project Guidelines: Setup the project dataset : - Then write a Python script to split the data into training and test set (80% training, 20% test). - The Python script takes the dataset as input and create two folders (training, test). - It will then RANDOMLY move images to these folders based on 80-20 ratio (Please do not move the first 80% images to training as it will create a skewed training/test set). - Use the dataset of 20 users - Resize images to 64X64 pixels - Convert images to gray scale - Convert images to feature vector (by reshaping the image matrix to linear array) - Add a label with each feature vector - Use one of the feature extraction technique (original pixel values etc..) - Select an appropriate Machine Learning
Machine Learning Model and Data Annotation (Arabic Datasets)
6427011
In this project I managed to develop a python script that allows you to scrape a website that sells graphics cards. the script puts the result in an excel file well organized with the name, the characteristics, the name of the manufacturer and the price.
Web Scraping with Python and Beautiful Soup
In this project I managed to develop a python script that allows you to scrape a website that sells graphics cards. the script puts the result in an excel file well organized with the name, the characteristics, the name of the manufacturer and the price.
Web Scraping with Python and Beautiful Soup
6426872
I made a python script using automation which can send message to number which are not even saved in your phone contacts. How It wokrs : It can send text messages, images, videos, document and any other media. You just have a list of phone numbers in excel file or csv. Benefits : Its very useful for marketing, because it can save lots of time, money and efforts.
WhatsApp Bot
I made a python script using automation which can send message to number which are not even saved in your phone contacts. How It wokrs : It can send text messages, images, videos, document and any other media. You just have a list of phone numbers in excel file or csv. Benefits : Its very useful for marketing, because it can save lots of time, money and efforts.
WhatsApp Bot
6427595
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
In this project I managed to develop a CNN model which allows to recognize the images of numbers from 0 to 9. my model is very powerful because i used a lot of technique to improve the accuracy.
Machine Learning Model ( CNN ) with Mnist Dataset
6427400
General Project Guidelines: Setup the project dataset : - Then write a Python script to split the data into training and test set (80% training, 20% test). - The Python script takes the dataset as input and create two folders (training, test). - It will then RANDOMLY move images to these folders based on 80-20 ratio (Please do not move the first 80% images to training as it will create a skewed training/test set). - Use the dataset of 20 users - Resize images to 64X64 pixels - Convert images to gray scale - Convert images to feature vector (by reshaping the image matrix to linear array) - Add a label with each feature vector - Use one of the feature extraction technique (original pixel values etc..) - Select an appropriate Machine Learning
Machine Learning Model and Data Annotation (Arabic Datasets)
General Project Guidelines: Setup the project dataset : - Then write a Python script to split the data into training and test set (80% training, 20% test). - The Python script takes the dataset as input and create two folders (training, test). - It will then RANDOMLY move images to these folders based on 80-20 ratio (Please do not move the first 80% images to training as it will create a skewed training/test set). - Use the dataset of 20 users - Resize images to 64X64 pixels - Convert images to gray scale - Convert images to feature vector (by reshaping the image matrix to linear array) - Add a label with each feature vector - Use one of the feature extraction technique (original pixel values etc..) - Select an appropriate Machine Learning
Machine Learning Model and Data Annotation (Arabic Datasets)
6427011
In this project I managed to develop a python script that allows you to scrape a website that sells graphics cards. the script puts the result in an excel file well organized with the name, the characteristics, the name of the manufacturer and the price.
Web Scraping with Python and Beautiful Soup
In this project I managed to develop a python script that allows you to scrape a website that sells graphics cards. the script puts the result in an excel file well organized with the name, the characteristics, the name of the manufacturer and the price.
Web Scraping with Python and Beautiful Soup

Reviews

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Showing 1 - 5 out of 6 reviews
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5.0
$18.00 USD
i need python developer (face recognition)
he is great and legit he doing his work perfectly.
PHP
C Programming
Python
Software Architecture
Machine Learning (ML)
T
Flag of Mostafa N.
@TGMost
•
4 years ago
5.0
$24.00 SGD
Project 26356570 has been deleted
Enjoyed working together! Fast and effective and really good at python.
D
Flag of Div K.
@dkhem22
•
4 years ago
5.0
$50.00 USD
Project for Bamouh E.
Good work as usual i have completed many projects with him
C Programming
Python
Machine Learning (ML)
C++ Programming
+1 more
O
Flag of Omar A.
@omaradil11
•
4 years ago
5.0
$50.00 USD
Artificial intelligence deep learning project
Bamouh was more than helpful. He has delivered everything within the agreed timeline, on budget, and all that by being totally professional! Totally recommended!
Python
Data Processing
Machine Learning (ML)
A
Flag of Adnan A.
@adnanadil7
•
4 years ago
5.0
$35.00 USD
run code on my pycharm from github repo
It was great working very talented and hard working. Would recommend 100%
Python
OpenCV
O
Flag of Omar A.
@omaradil11
•
4 years ago

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Python 6
Machine Learning (ML) 4
C Programming 3
C++ Programming 3
Internet of Things (IoT) 2

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