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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.

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Engineer in computer systems and networks with extensive professional experience in various essential sectors, offers courses on the Postgresql DBMS for students to strengthen the level or for professionals to use with Odoo or others ...

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SQL: universal language for data manipulation. I provide you with training for beginners who wish to enter the world of Databases and Business Intelligence Installation of the RDBMS of your choice (Mysql, SQL SERVER, ORACLE, Postgresql, SQLITE) Object(DB, Tables, View, Storeprocedure, Index...) Read, write, modify and delete method (Select, Insert Into, Update, Delete) Aggregation Join. ODBC connection.

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A relational database is a collection of data organized as formally defined tables, from which data can be accessed and assembled without having to reorganize the tables in the database. Relational databases are the most used in the software industry around the world, in this course I will explain exactly how to manipulate data in an RDBMS in an optimal way, how to connect an application with a data store of your choice and I will answer all your questions in detail. Yours truly.

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I offer support for professionals, high school students, students in preparatory classes, faculty and engineering school, I also offer python and machine learning / data science courses for professionals looking to get up to speed. I am available for regular follow-up to achieve medium/long term goals and also for occasional interventions, particularly when it comes to preparing for exams or catching up. For students : We will first start by clarifying your situation and your expectations. The session will take place as follows: Clarify the lesson seen in class and answer any questions you may have prepared before the session. After making sure that you have retained the course, we move on to the exercises, I suggest you start with the classics which allow you to understand the usefulness and use cases of the theorems and tricks. For students with more specific requests, I adopt a pragmatic approach based on the annals / TDs to allow you to validate / improve your results. For professionals : Start by clarifying your expectations and then establish a roadmap. Go through the basics of defining a Data Science project (probability and statistics). After having built a solid base, we discover concrete and specific subjects similar to those dealt with in business.

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Senior consultant with a degree in computer engineering gives private lessons in computer science (Java, C, C ++, BD, Programming, database ...). I have 5 years experience in teaching in the computer field. See you soon, I hope :

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Learn how to use and create a database with Access in a simple way using logic rather than memorization. - creation of tables - the different types of controls with their properties and their input masks - choice lists - the 1st and 2nd keys - creation of relationships between tables - referential integrity - filtering and sorting - creation of queries (selection, table addition, update, deletion, table addition, cross analysis) - calculated fields - different displays (creation mode, data mode to be encoded, personalized displays, adding to groups ...) - creation of forms - creation of reports - external data (import and export) - compaction - linked source tables - etc ...

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Learn about: - Normalization - Relation data model and its nested relations - SQL Language, scripts and others - Dynamic SQL - Security and User authorization - Object oriented data model - Functional dependencies - Different type of data model, such as Datalog

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Graduate Engineer in Computer Science offers an individualized pedagogy on computer science in general or in Algorithms and programming also on tools and computer software and databases, My goal is to advance the student without overloading. I give homework after each lesson and periodically provide progress reports. This course is for beginners and intermediate level students. The goal is to learn to programmed functions and think like a professional in the field.