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Private lessonsComputers & ElectronicsComputers & Electronics in Gennevilliers

23 computers & electronics teachers in Gennevilliers

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23 computers & electronics teachers in Gennevilliers

Olesia - Franconville220 CNY
220 CNYComputer training, Database, Data science, Data Analytics, BI, Big Data
Trusted teacher: I offer courses in data development / database / machine learning / data science (python): I also offer the possibility of helping you with the realization of your academic projects. We support you in the Data development of your business. -1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud) -2- Machine Learning -3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM) -4- Data Processing -5- Machine Learning design and deployment (docker, ...) -6- Data Pipelines -7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection -8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.) - Our Tech Stack - - Databases: AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform) - Languages: Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML - Development environment: JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText - Clouds: Amazon Web Services, Azure Databricks, Google GCP (Google Firebase) - Data Lake AWS / Databricks: EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation - Web crawling / Scraping: Python Scrapy - Data streaming: Airflow, Kafka - Data visualization / ETL: Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M) - Continuous integration workflows (CI / CD): Docker / Google cloud / Kubernetes; Amazon ECS) - Containerized applications: Docker (Docker container, Docker-compose) - Virtualization technologies: VirtualBox, Vmware - Agile tools: Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains - OS: Linux, Windows
Numerical analysis · Information technology · Database
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Hassane - Saint-Denis127 CNY
127 CNYBasic concepts in office automation and graphic multimedia design (Ideal for a good pedagogical supervision)
Trusted teacher: Young student in License 3 in computer science at the Faculty of Créteil, I propose to give courses in computer office automation, namely Microsoft Word, Microsoft Excel, Microsoft Power Point, and Computer Communication with software Adobe and Microsoft. Office Automation: As for desktop computing, the student will have the basics of applications, if necessary, then it will evolve from an intermediate level to an advanced level with a mastery of office tools for professional use. - With Microsoft Word, the student will be able to layout a document containing images, shapes, tables and graphs; Manage advanced formatting and be able to connect the Word document to a database to manage mailings. - With Microsoft Excel, the student will be able to manipulate the basic functions, namely digital operations, format tables, insert graphics and connect tables, etc. The idea of this course is to change the student from a beginner level to an intermediate level. - With Microsoft Power Point, the student will be able to prepare successful good presentations in design and special effects, use multimedia content in presentations. If the student is strong enough, he will be introduced to the use of the formidable tool, in terms of creation of interactive animation, which is Adobe Flash, to make outstanding presentations. Communication Computer Graphics: For graphic design classes, students will have a good introduction to Adobe Photoshop Tools, Adobe Illustrator, and Microsoft Expression Design, which is relatively similar to Adobe Illustrator, but much easier than Adobe Illustrator. - With Adobe Illustrator and Microsoft Expression Design, students will learn how to use the various tools for creating shapes and objects, learn how to trace and vector images, how to use different color profiles and different special effects, etc. This course is designed to bring a student from a beginner level to an intermediate level (or rather advanced, but not very thorough) - With Adobe Photoshop, the student will learn to use the tools for retouching images and creations, understand the concept of layers and understand how to manage color profiles in the different objects in the workspace. This course is really designed for beginners.
Computer graphics · Computer science
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Dave - Paris406 CNY
406 CNYMachine learning course / project by Doctor in machine learning and actuarial science
Trusted teacher: Hello, I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2. In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students. If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me. In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing. I am available to teach the following subjects: 1.Python or R 2. Data exploration 3.Machine learning 3.1. Intro ML 3.2. Linear Model -> Linear Models for Regression and Classification 3.3. kernel -> Kernelization 3.4. Model selection 3.5. model set, -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking 3.6. Data preprocessing -> Data pre-processing -> Pipelines: choose the right preprocessing steps and models in your pipeline -> Cross validation 3.7. Neural Networks -> Neural architectures -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation -> Neural network design: Activation functions, weight initialization and Optimizers -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization 3.8. Convolutional Neural Networks -> Convolved Image -> Convolutional neural networks ->Data increase -> Model interpretation -> Using pre-trained networks (transfer learning) 3.9. Neural Networks for text -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe
Math · Statistics · Computer science
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Amine - Rabat, MoroccoRecently active304 CNY
304 CNYPhD Candidate & Experienced Professor - Data Analysis & Advanced Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASP
◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making
Statistics · Numerical analysis · Database
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Our students from Gennevilliers evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from Gennevilliers to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 33 reviews.

Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
Adobe Suite - Tools for creating images for the web (Paris)
Federico
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Federico is a wonderful teacher! We have covered all the basis of Illustrator and he explained me very well how the program works, what are the main tools and features. It was exactly what I was looking for and what I learnt during our class helped me a lot. I would absolutely recommend Federico.
Review by KSENIJA
Sewing techniques, clothing and accessory creation, pattern making (hand and CLO3D) (Saint-Denis)
Nawal
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I highly recommend Nawal for sewing lessons! She has a lot of passion in her work. If you're looking to learn how to sew or improve your skills, look no further.
Review by KÉVIN

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