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Rachid
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Machine Learning and Data Mining Services for your business to know the exact decisions

I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions.

He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included:

Aggression styles: linéaire, logistique, multinomiale, poisson, etc.
Classification patterns: arbres de decision, forêts aléatoires, SVM, etc.
Clustering: k-means, DBSCAN, etc.
Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc.
Traitement du langage naturel: sentiment analysis, text classification, etc.
Chronology analyzes of events: ARIMA, SARIMA, etc.
I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc.

Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

Extra information

Courses can be conducted remotely

Location

At student's location: Around Rabat, Morocco
Online via webcam
At student's location: Around Casablanca, Morocco
At teacher's location: Paris, France
At teacher's location: Suisse
At teacher's location: Canada

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General info

Age:
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
The class is taught in:French, Arabic, English

About Me

Translated by Google. Click to view original.

As a young engineer, I have several years of experience as a teacher of Mathematics and Statistics at home.
I propose you home courses in Mathematics and Statistics:
Preparations for different exams,
- Misunderstanding of courses seen in class and application exercises,
-Methodologies and quick methods to solve exercises,
-Help homework catching gaps,
-Increased courses during the school holidays.

I propose you a pedagogy follow-up according to the difficulties of the pupil as well as an effective methodology aiming to make progress the pupil.

Education

Translated by Google. Click to view original.

- Scientific Baccalaureate Specialty Maths.
- 2 years in MP preparatory classes (Maths and Physics).
- Diploma of State Engineer in Statistics and Applied Economics.

Experience / Qualifications

Translated by Google. Click to view original.

It is now 4 years since I give tutoring in mathematics at very different levels. All the final students I had the opportunity to follow had their bachelor's degree.

Reviews (3)

Great teacher, attentive to requests and available. Good knowledge of advanced topics in Econometrics.
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I highly recommend !!! Very attentive, patient. He helped me a lot with statistics.
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It took a long time to meet on skype, the internet connection was poor and he didnt have a very clear framework to help. I booked one lesson but not a second one. Maybe his statistics skills are fine but communication skill were not
Statistical engineer will help you read your memory or your thoughts in: economics, medicine, psychology, gestion, SPSS, STATA, views, Python, R Diploma in economics and statistical applications, with a great experience in foreign countries, helps you realize your projects: master’s memory, stage memory, doctor’s office, medicine, psychology education, etc. They propose to provide recovery and recovery assistance to the experimental party for the electoral project. I have a large experience in the statistical domain, analysis of données and economic applications. Messenger domains include: - Statistical description (Moen, variance, correlation, De Chi 2 test..) - Test moyenne comparisons and test the difference in ratio on the dependent Chantillon - Donut analysis: ACP, AFC, ACM and Classification - Economy: Régression line (MCO), panel components (effects fixes and effects aléatoires) model GMM, Séries temporelles (AR, MA, ARMA, ARIMA etc.) - Help and configuration SPSS, STATA, Eviews, R and Python - Possibility of travel according to distance - Helping in retransmitting memories and events

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Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
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23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00  Friday at 23:00  Saturday at 23:00  Sunday at 23:00
from 32.64FrAt teacher's location
from 32.64FrOnline via webcam
from 32.64FrAt student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since December 2017
  • Phone number verified
  • Linkedin connected
    500+ connections

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
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23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00  Friday at 23:00  Saturday at 23:00  Sunday at 23:00
from 32.64FrAt teacher's location
from 32.64FrOnline via webcam
from 32.64FrAt student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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