My name is
β‘ Previously I worked as Machine Learning Engineer at Lincoln for a couple of weeks before moving to the US for my Master in Business & Data Science at Texas Tech University, Rawls College of Business . Before that, I was Data Scientist for 2 years at Axionable , first Sustainable AI startup in France and Canada. Also I spent 2 years and 6 months at IBM as Machine Learning Consultant.
β€οΈ I love Data Science, Natural Language Processing, Cloud Computing & MLOps
π©Ί What keeps me in shape
When I was in France, I had Taekwondo classes π₯ on Tuesday, Thursday, Friday & Saturday at Mudo Club Argenteuil
Daily morning runner ππΎ
Occasional football player β½οΈ with friends
AttiΓ©kΓ©, Yassa, MafΓ©, Thieb, etc. π
π± Iβm addicted to continuous learning, which makes me grow on a regular basis
π I'm sharing my knowledge through my blog in order to make good impact on others life
π« How to find me
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My Most Used Languages:
Data Science, Machine Learning & MLOPs Resources.
This is the collection of all the resources I have created, organized by topics.
Subscribe to:
Data Science
Machine Learning
MLOps
Natural Language Processing
Large Language Models
Python
Pandas & Python Tricks
Computer Vision
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Article Link
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A simple way to understand Association Rule from the Customer Basket Analysis Use Case
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Different Metrics to Evaluate Binary Classification Models and Some Strategies to Choose the Right One
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Introduction to Mito: Spreadsheet for Data Scientists That Also Generates Python Codes
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When R Meets SQL to Query Dataframes
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5 Essential Tools to Start a Career in Data Science and Data Analytics
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4 Types of SQL JOIN Every Data Scientist Should Know: Visual Representation
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Data Preprocessing Using Pipeline in Pandas
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The guide to choosing the right database for my project: MongoDB vs. MySQL
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How to Run SQL Queries On Your Pandas DataFrames With Python
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Algorithmic Bias in Healthcare and Some Strategies for Mitigating It
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Which One of These 2 Open-Source Libraries Is Better for Processing Gigabytes of Data?
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ChatGPT for Data Scientists, Data Analysts, and Programmers
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Tableau Data Blending TutorialβββA Step-By-Step Guide For Beginners
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Fundamentals of Statistics All Data Scientists & Analysts Should KnowβββWith CodeβββPart 1
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Everything You Need to Know About Heatmap β Tutorial With PowerBI
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Top Techniques to Handle Missing Values Every Data Scientist Should Know
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An Introduction to Hierarchical Clustering in Python
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Multiple Linear Regression in R: Tutorial With Examples
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NoSQL Databases: What Every Data Scientist Needs to Know
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Transfer Learning: Understand the Big Picture & Make the Right Choices for Your Use Case
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Overview Of 4 Model Validation Approaches to Mitigate Overfitting Problem
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eXplainable AI (XAI): LIME & SHAP, Two Great Candidates to Help You Explain Your Machine Learning Models
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Using Gradio To Create Apps For Your Machine Learning Models
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How to Perform KMeans Clustering Using Python
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Classification in Machine Learning: An Introduction
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Article Link
Video
Create An Awesome Streamlit App & Deploy it With Docker
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Machine Learning models monitoring made easy with Mlfow, a concrete use case with Python API
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When Your Machine Learning model teams up with Django REST API, A successful deployment into production
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NLP MLops Project With DagsHub β Multi-Language Sentiment Classification Using Transformers β Part 1
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NLP MLops Project With DagsHub β Deploy Your Streamlit App On AWS EC2 Instance β Part 2
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Step-by-step Approach to Build Your Machine Learning API Using Fast API
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Data And Model Versioning With DVC And Azure Blob Storage
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GitHub Actions for Machine Learning: Train, Test and Deploy Your ML Model on AWS EC2.
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CI/CD for Machine Learning Model Training with GitHub Actions
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Speed Up Your Model Training with DagsHub Direct Data Access on AWS
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Git Reset and Revert Tutorial for Beginners
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Natural Language Processing
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Do You Want To Cluster Unlabeled Text Data? Try Out Topic Modeling
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Financial Text Classification With Deep Learning Using FinBERT
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Named Entity Recognition with Spacy and the Mighty roBERTa
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Scientific Documents Similarity Search With Deep Learning Using Transformers (SciBERT)
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Meet BERTopicβ BERTβs Cousin For Advanced Topic Modeling
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Unsupervised Multilingual Text Classification With Zero-Shot Approach
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Semantic Keywords And Keyphrases Extraction With KeyBERT
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4 NLP Libraries for Automatic Language Identification of Text Data In Python
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Data Augmentation in NLP Using Back Translation With MarianMT
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Social Media Sentiment Analysis In Python With VADER β No Training Required!
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Stemming, Lemmatizationβ Which One is Worth Going For?
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VADER Vs. TextBlob β Which One Is Better For Social Media Sentiment Analysis?
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Most Common Text Processing Tasks In Natural Language Processing
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How to Perform Speech-to-Text and Translate Any Speech to English With OpenAIβs Whisper
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Plagiarism Detection Using Transformers
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Text-to-Image and Image-to-image search Using CLIP
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A Step-by-step Guide to Solving 4 Real-life Problems With Transformers and Hugging Face
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Text data representation with one-hot encoding, Tf-Idf, Count Vectors, Co-occurrence Vectors and Word2Vec
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Fine-Tuning GPT-3 Using the OpenAI API and Python
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How I Built A Video Recommendation System Using Large Language Models and Vector Database
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A Framework For Efficiently Serving Your Large Language Models
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How To Scrape a Web Page With ChatGPT β No Coding Required!
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How to Chat With Any PDFs and Image Files Using Large Language Models β With Code
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5 Python open-source tools to extract text and tabular data from PDF Files
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When Should You Consider Using Datatable Instead of Pandas to Process Large Data?
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Convert Any Type of Document to Text With Apache Tika Using Python API
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Collect Data From Reddit and Twitterβ 600+ Million Monthly Active Users Platforms
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Knockknock β Probably The Best Python Library For Notifications
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Extract Text Written in Different Languages from Images with Python
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Introduction to Twint: Say Goodbye to Twitter Rate Limitations β Also No Need for A Twitter API!
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Avoid Using βpip freezeβ β Use βpipreqsβ instead
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Extract Tweets Without Limitations in a Few Lines of Code Using Python
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Collect Data from Twitter: A Step-by-Step Implementation Using Tweepy
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How to Create a Virtual Environment and Use it on Jupyter Notebook
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Pandas and Python Tips and Tricks for Data Science and Data Analysis
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Pandas & Python Tricks for Data Science & Data Analysis β Part 2
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Video
Five Simple Image Data Augmentation Techniques to Mitigate Overfitting In Computer Vision
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YOLO Object Detection Explained
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How to Measure Model Performance in Computer Vision: A Comprehensive Guide
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