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$15 USD/oră
Steagul MOROCCO
agadir, morocco
$15 USD/oră
Momentan, aici e ora 9:13 p.m.
S-a înregistrat pe septembrie 16, 2022
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Abdelhak M.

@mekaouiabdelhak1

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$15 USD/oră
Steagul MOROCCO
agadir, morocco
$15 USD/oră
Indisponibil
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Indisponibil
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Rata de angajare repetată

Software engineering | DevOps | Machine Learning

I am a results-driven professional specializing in Machine Learning, Deep Learning, NLP, CV, and Software Engineering. With expertise in advanced algorithms, model development, and optimization. When you choose to work with me, you can rest assured that your project will be delivered with the utmost dedication and a commitment to excellence. With a proven track record of delivering successful outcomes, I bring my expertise to ensure the highest level of performance.
Freelancer Python Developers Morocco
Vezi toate opțiunile pentru Python Developers din Morocco

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Portfoliu

10942466
ChatBot using bag of words and ANN
The ChatBot project that I worked on involved building a conversational chatbot using bag of words and ANN, which stands for Artificial Neural Network. The aim was to create a chatbot that could interact with users in a natural language, just like a human would. To achieve this, we used a bag of words model to convert text data into a numerical representation. This involved creating a dictionary of words and counting the frequency of each word in a given text. We then used an ANN to learn from the data and generate responses based on the patterns it recognized in the input data. During the training process, the ANN learned to recognize different patterns in the input data and generate appropriate responses based on those patterns. Once the ANN was trained, it was integrated into a chatbot application, where it could interact with users and respond to their queries in a conversational manner. link to the project on my github : https://github.com/Abdelhak-mekaoui/Chatbot.git
ChatBot using bag of words and ANN
10848223
Building a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). View project : https://github.com/Abdelhak-mekaoui/Titanic---Machine-Learning-from-Disaster/blob/main/Titanic_Machine_Learning_from_Disaster.ipynb
Titanic - Machine Learning from Disaster
10848215
Creative feature engineering Advanced regression techniques like random forest and gradient boosting Project link : https://github.com/Abdelhak-mekaoui/House-Prices---Advanced-Regression-Techniques/blob/main/Copy_of_random_forest_regression.ipynb
House Prices - Advanced Regression Algorithms
10848211
Computer vision fundamentals including neural networks Classification methods such as SVM and K-nearest neighbors Project link: https://github.com/Abdelhak-mekaoui/Digit-Recognizer/blob/main/Digit_Recognizer.ipynb
Digit Recognizer
10848209
Project link : https://github.com/Abdelhak-mekaoui/Data-Science-London-Scikit-learn/blob/main/Data_Science_London_%2B_Scikit_learn.ipynb
Data Science London | machine learning models
10942466
ChatBot using bag of words and ANN
The ChatBot project that I worked on involved building a conversational chatbot using bag of words and ANN, which stands for Artificial Neural Network. The aim was to create a chatbot that could interact with users in a natural language, just like a human would. To achieve this, we used a bag of words model to convert text data into a numerical representation. This involved creating a dictionary of words and counting the frequency of each word in a given text. We then used an ANN to learn from the data and generate responses based on the patterns it recognized in the input data. During the training process, the ANN learned to recognize different patterns in the input data and generate appropriate responses based on those patterns. Once the ANN was trained, it was integrated into a chatbot application, where it could interact with users and respond to their queries in a conversational manner. link to the project on my github : https://github.com/Abdelhak-mekaoui/Chatbot.git
ChatBot using bag of words and ANN
10848223
Building a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). View project : https://github.com/Abdelhak-mekaoui/Titanic---Machine-Learning-from-Disaster/blob/main/Titanic_Machine_Learning_from_Disaster.ipynb
Titanic - Machine Learning from Disaster
10848215
Creative feature engineering Advanced regression techniques like random forest and gradient boosting Project link : https://github.com/Abdelhak-mekaoui/House-Prices---Advanced-Regression-Techniques/blob/main/Copy_of_random_forest_regression.ipynb
House Prices - Advanced Regression Algorithms
10848211
Computer vision fundamentals including neural networks Classification methods such as SVM and K-nearest neighbors Project link: https://github.com/Abdelhak-mekaoui/Digit-Recognizer/blob/main/Digit_Recognizer.ipynb
Digit Recognizer
10848209
Project link : https://github.com/Abdelhak-mekaoui/Data-Science-London-Scikit-learn/blob/main/Data_Science_London_%2B_Scikit_learn.ipynb
Data Science London | machine learning models

Recenzii

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Experiență

Web devloper

JEEA ENSA AGADIR
nov. 2022 - Prezent
Develop and maintain the backend of web applications with a focus on scalability, reliability, and security. Integrate machine learning models into the backend of web applications to improve performance and user experience.

Calificări

Machine Learning Specialization

Coursera | DeepLearning.AI
2023
I studied modern machine learning concepts, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. I learned some of the best practices for building machine-learning models. and also gained practical skills to apply machine learning techniques to challenging real-world problems.

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Cele mai bune aptitudini

Python
Django
Machine Learning (ML)
Amazon Web Services
React.js

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