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$6 USD / hour
Flag of MOROCCO
taroudant, morocco
$6 USD / hour
It's currently 6:10 AM here
Joined December 3, 2017
1 Recommendation

Abderrahim O.

@oujbih

 5.0 (9 reviews)
3.8
3.8
83%
83%
$6 USD / hour
Flag of MOROCCO
taroudant, morocco
$6 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
9%
Repeat Hire Rate

Data scientist engineer,Python/R expert

Welcome to my profile, dear reader! My name is Abderrahim,i'm a data scientist engineer, i’ve become a skilled a R programmer because of the FOUR years of working experience and learning. I have also various skills that are related to this field (Python, Latex, HTLM, js, Java, Linux...) . # Why me ? 1* You will get a full explanation of the every line of code, why I chose this function rather than another and much more. 2* I have a degree in industrial engineering, so I have a good understanding of statistic and probability, with me will get not only the code but also a good interpretation and theory behind the code. 3* we will have a meeting (Zoom) to full assist you and answer all your questions 4* best price . # MY TOP Skills : -R +4 years of experience -Latex + 5 years of experience -Python + 4 years of experience -Java -Android development -statistics and probability -Math and Physique -Solidworks -Excel -Matlab -VB.net # Highlights of my service: o All work will be error-free. o Your satisfaction is 100% guaranteed. If my skills and experience meet your standards, request your quote for free. I am always ready to start your project anytime. Please contact me for good results.-
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Portfolio

8518706
I'm working on my skills regularly, to give my clients the best service possible. https://github.com/oujbih
My github account
8518523
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
4356238
professional report template latex
professional report template latex
professional report template latex
professional report template latex
8518706
I'm working on my skills regularly, to give my clients the best service possible. https://github.com/oujbih
My github account
8518523
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
About project : Before the construction of predictive models, we studied the washing process in detail. This al lowed us to master the phosphate treatment process and to identify the variables likely to be used in our models.Then we started the data preparation phase, we identified different possible joins between these data, then we chose the best join for building the predictive models and exploring optimization scenarios afterwards. Finally all these results are structured and integrated into a web application to monitor and pilot the process by its agents. # skills - Advance data cleaning,preparation and transformation. - Classification - Regression (Bagged Trees,Random Forest,Xgboost, GBM - Deep learning (ANN,CNN,LSTM) - Optimization (genetic algorithms, Simulated annealing) - R-Shiny please visit my github for more information: https://github.com/oujbih/PFE
My 6 month project - AI&machine learning&optimisation in R
4356238
professional report template latex
professional report template latex
professional report template latex
professional report template latex

Reviews

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Showing 1 - 5 out of 8 reviews
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5.0
₹1,000.00 INR
Scrape web page data to json file
Exceptional talent and very professional. Delivered the work well in advance of the deadline. Looking forward to working more with them.
PHP
Python
Web Scraping
C# Programming
User Avatar
Flag of Tej M.
@DegenPunter
•
1 year ago
5.0
$134.00 CAD
Need to scrape data
Excellent communication and skills. recommend! [25 November, 2023] Excellent work!
PHP
Python
Web Scraping
Software Architecture
Selenium
User Avatar
Flag of Md Rakib U.
@mdrakibuddn
•
2 years ago
4.8
€50.00 EUR
Revision of code to approach GOOGLE INDEXING API (written in R/PYTHON)
Abderrahim est un travailleur motivé et très communicatif. N'hésitez pas à faire appel à son expertise en matière de R. Abderrahim is a motivated worker and very communicative. Do not hesitate to call on his expertise in R. Abderrahim is een gemotiveerde werker en zeer communicatief. Aarzel niet om een beroep te doen op zijn deskundigheid in R.
Python
R Programming Language
Google APIs
E
Flag of Wouter C.
@EConsultingWCU
•
3 years ago
5.0
$142.00 USD
Project 29152107 has been deleted
Fantastic work. Abderrahim is very good at dashboarding in RShiny, and machine learning. And he loves the job he does and goes out of his way to make things great. Very few freelancers are like him
A
Closed User
@AnwerUK
•
3 years ago
5.0
$250.00 USD
Project 28645186 has been deleted
He coded a very very complex production grade Markov Chain Monte Carlo model in Python for me, which I had coded myself in R. I was not expecting someone to meet my expectation and took a gamble but he did a fantastic job and met my expectations in full. Very smart data scientist
A
Closed User
@AnwerUK
•
3 years ago

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