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@ouhsassa
Bandeira de Morocco Goulmima, Morocco
Membro desde 3 de setembro de 2015
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ouhsassa

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Expert Data scientist with experience in Deep Learning, machine learning and Natural language processing. My expertise revolves around: • Forecasting Modeling, Statistics, Descriptive Modeling, Deep Learning, Image Classification/Recognition, Object/Anomaly detection, • Machine Learning Algorithms : Regression - Univariant/Multivariant/ Regression Classification - Naive Bayes/SVM/Random Forest/ Decision Trees/ Boosted Models (GBM/Adaboost/XGboost/LightGBM(Microsoft)) Clustering- K Means/ hierarchical/LDA , • Natural Language Processing(NLP) : • Deep Learning: ANN ,CNN ,RNN ,LSTM using Keras and Tensor Flow Bkend. • Statistics ML : Probabilities • Regression • Principal •Component Analysis Deep Learning Boosting Clustering • Data Visualization & Plot. • Python , R , SPSS , STATA , EVIEWS I pride myself on providing the highest quality of the work and will never complete a project until the client is 100% satisfied. Looking forward to your projects!
$50 USD/hr
7 comentários
3.0
  • 100%Trabalhos concluídos
  • 100%No Orçamento
  • 100%Pontualidade
  • 9%Taxa de Recontratação

Itens de Portfólio

Comentários recentes

Experiência

Data Scientist

Jan 2017

Designing and building advanced analytics solutions Creating algorithms to extract information from large data sets. Developing predictive algorithms using R, SAS and SPSS Modeler Developing metrics and prototypes that can help drive business decisions. Designing, developing and deploying data analysis systems for large data sets Establishing scalable, efficient, automated processes for model development, validation and implementation

Educação

M.S. Degree in Statistics - Data Science - Bige Data

2013 - 2016 (3 years)

Qualificações

Machine Learning Certification by Stanford University (2018)

Coursera

In this course, students learn about Supervised learning, Unsupervised learning among other key areas. The course includes multiple case studies and applications to help students learn how to apply algorithms to build smart robots. It gives a better understanding of parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics.

IBM Data Science Professional Certificate – Coursera (2019)

Coursera - IBM

The certification consists of a series of 9 courses that help students to acquire skills required to work on the projects available in the industry. The lectures span a broad range of topics including data visualization, analysis, libraries, and open-source tools.

MIT Data Science and Statistics Certificate – edX (2019)

MIT - edX

This certification contains a series of 5 courses that will help students strengthen their foundation of data science, statistics and machine learning. They will learn to analyze big data and understand how to make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making.

Deep Learning Certification – deeplearning.ai (2020)

deeplearning.ai

Students can learn how to build neural networks and lead successful machine learning projects through this 5-course specialization. Students will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects.

Publicações

ASL Recognition with Deep Learning

Build a convolutional neural network to classify images of letters from American Sign Language.

Text Mining America's Toughest Game Show

Use text mining to analyze Jeopardy! data.

Modeling the Volatility of US Bond Yields

Discover how the US bond yields behave using descriptive statistics and advanced modeling

Classify Song Genres from Audio Data

Apply machine learning methods in Python to classify songs into genres.

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