Projects

Random Forest vs XGBoost: Speed & Accuracy on California Housing

Benchmark two popular tree ensemble regressors—Random Forest and XGBoost—on the California Housing dataset, comparing accuracy and timing.

Sep 6, 2025
DOSSEH Ameck Guy-Max Désiré

Logistic Regression with Python

Machine Learning
AI Engineering

Implementing Logistic Regression for classification tasks using Python.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Machine Learning Pipelines and GridSearchCV

Machine Learning
AI Engineering

A comprehensive guide to building and optimizing machine learning pipelines using Scikit-Learn’s Pipeline and GridSearchCV.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Multiple Linear Regression

Machine Learning
AI Engineering

Implementing multiple linear regression using scikit-learn, including feature selection, preprocessing, modeling, and evaluation.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Multi-class Classification

Machine Learning
AI Engineering

Strategies for multi-class classification using logistic regression, including preprocessing, modeling, and evaluation.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Applications of Principal Component Analysis (PCA)

Machine Learning
AI Engineering

Exploring the applications of Principal Component Analysis (PCA) for dimensionality reduction and data visualization in machine learning.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Predicting Taxi Tips with Regression Trees

Train and evaluate a DecisionTreeRegressor on NYC taxi trip data to predict tip amounts.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Regularization in Linear Regression: OLS vs Ridge vs Lasso

Compare ordinary least squares, Ridge, and Lasso regression on noisy and high-dimensional data, and apply Lasso for feature selection.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Simple Linear Regression: Fuel Consumption and CO₂ Emissions

Build and interpret a simple linear regression model relating vehicle characteristics to CO₂ emissions.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Titanic Survival Prediction

Machine Learning
AI Engineering
Classification

An attempt to predict Titanic passenger survival using classification techniques.

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Comparing t-SNE and UMAP for Dimensionality Reduction

Machine Learning
Dimensionality Reduction
Visualization

Compare t-SNE and UMAP against a PCA baseline to assess cluster separation, density, and connectivity in 2D projections

Sep 5, 2025
DOSSEH Ameck Guy-Max Désiré

Comparing DBSCAN and HDBSCAN Clustering

Machine Learning
AI Engineering

A practical comparison of DBSCAN and HDBSCAN clustering algorithms using real-world data on cultural and art facilities in Canada. This post demonstrates how to implement both models using scikit-learn and evaluates their performance in clustering museum locations.

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Decision Trees for Classification

Machine Learning
AI Engineering

Using Decision Trees for Classification Tasks

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Evaluating Classification Models

Machine Learning
AI Engineering

Implementing and Evaluating Classification Models on Real-World Data

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Evaluating KMeans-Clustering

Machine Learning
AI Engineering

Implementing and Evaluating KMeans Clustering on Synthetic Data

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Evaluating Random Forest Performance

Machine Learning
AI Engineering

Implementing and Evaluating Random Forest Regression Models

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Rainfall Prediction Classifier

Machine Learning
AI Engineering

Building a Rainfall Prediction Classifier using Pipelines and Grid Search

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

K-Means Clustering for Customer Segmentation

Machine Learning
AI Engineering

Using K-Means Clustering for Customer Segmentation

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

K-Nearest Neighbors Classification

Machine Learning
AI Engineering

K-Nearest Neighbors for Classification Tasks

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré

Credit Card Fraud Detection with Decision Trees and SVM

Machine Learning
AI Engineering

Using Decision Trees and Support Vector Machines for Credit Card Fraud Detection

Aug 31, 2025
DOSSEH Ameck Guy-Max Désiré
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