Projects with this topic
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General purposes Jupyter Notebooks (XalapaCode presentations and data, testing, prototypes).
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Practical tasks on Deep Learning (DL) and Neural Networks (NN).
🤖 Python machine lear... deep learning NumPy matplotlib pandas AI mathematics computer vision natural lang... speech proce... PyTorch scikit-learn artificial i... ML DL big data data analysis scipy keras TensorFlow seaborn plotly nltk opencv dask Deep Nerual ... programming openml google colab google colla... google drive computer sci... CSV API python3 jupyter jupyter note... Anaconda Bash shell LaTeX MarkdownUpdated -
Simple ML Project using regression models and KMeans clustering to predict Y from A and B, classify results, and expose predictions through a FastAPI API.
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ETL pipeline project using Python, pandas and SQLite to import and structure CSV, Excel and HTML data files.
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FastAPI-based microservice that predicts the risk level of a user session https://user-risk-detection-api.vercel.app
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Predicts the risk level of a user session using behavioral signals
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Materials on various sections in Computer Science (CS).
🎓 с с++ shell Bash makefile Git GitLab github SQL computer sci... PowerShell Mobile Devel... Android iOS devops game develop... Web Development JavaScript Java Python Docker HTML CSS TypeScript C++ Rust game Go C C# python3 nodejs golang Django Node.js MySQL Kotlin Windows PostgreSQL Flutter machine lear... js Ruby Qt Markdown R Swift cybersecurity Cyber Security bioinformatics deep learning big data NumPy pandas matplotlib scikit-learn scipy development softwareUpdated -
Analisi della transizione energetica nell'UE27 (2000–2030) con Python, Power BI e Machine Learning. Tre indici sintetici originali (ITE, ICP, RGI) calcolati su dati Our World in Data e proiettati al 2030 tramite regressione lineare.
Progetto IFTS Data Analysis & AI - SIAM1838
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A practical, linear-algebra-first introduction to data science.
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Experimental implementations of mathematical functions focusing on HPC techniques
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Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.
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Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.
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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.
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Projet d’analyse du comportement des utilisateurs Instagram à partir d’un large dataset synthétique (plus d’un million d’utilisateurs).
Le projet explore :
Analyse exploratoire des données (EDA) Prédictions de variables comportementales (stress, âge, clics publicitaires, revenu) Identification de profils utilisateurs avec clustering (KMeans) Interprétation des résultats statistiques en lien avec la vie réelleMéthodologie : visualisation, corrélations, sélection de modèles, entraînement, évaluation et interprétation.
Technologies : Python, Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter.
Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).
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A pandas DataFrame with DataFrame index and columns!
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📊 End-to-end marketing data analysis project using Python and Jupyter Notebook.🔍 Focused on customer demographics, spending behavior, and campaign performance.📈 Includes data cleaning, EDA, visualization, and actionable business insights.Updated -