Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...

4️⃣ task4_prepare_data.py Loads the Iris dataset, explores it, and splits it into training (70%) and testing (30%) sets 5️⃣ task5_train_knn.py Trains a k-NN classifier (k=3) on the raw, unscaled ...

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...

Data-Cleaning-and-Visualization-Project A Data Science project focused on cleaning, preprocessing, and visualizing an e-commerce sales dataset using Python (Pandas, Matplotlib, and Seaborn). Handles ...