Scikit-learn (also called sklearn) is a free, open-source Python library for machine learning. It provides simple and efficient tools for: Supervised Learning (classification, regression) Unsupervised Learning (clustering, dimensionality reduction) Model evaluation (cross-validation, metrics) Data preprocessing (scaling, feature extraction)…
1. High-Level ML Workflow Diagram A typical ML pipeline can be visualized as a cyclic process with the following stages: [Data Collection] → [Data Preprocessing] → [Feature Engineering] → [Model Training] →…
1. Example: Sentiment Analysis AI (Text Classification) Goal: Train an ML model to classify movie reviews as positive or negative. 2. Step-by-Step Implementation 1. Install Required Libraries bash pip install pandas scikit-learn nltk…
Choose an AI Type TypeDescriptionExampleRule-Based AIFollows predefined if-else rulesChatbot, Decision TreeMachine Learning (ML) AILearns from dataImage classifier, Spam detectorChatbot (NLP)Uses natural language processingCustomer support bot 1. Build a Simple Rule-Based…
Yes, it’s possible—and sometimes beneficial—to blend Waterfall (structured phases) with Scrum (iterative agility). This hybrid model is often called "Wagile" or "Water-Scrum-Fall." Here’s how it works, when to use it, and key pitfalls to avoid. 1. How to…
This guide walks you through creating a real-time face recognition Android app using Java, CameraX, and ML Kit (Google's on-device machine learning SDK). No server needed—everything runs locally! 1. Prerequisites Android Studio (latest version)…
As a Product Manager, you’re the bridge between stakeholders (execs, clients, sales) and the team (engineers, designers). This often creates tension: Stakeholders want more features, faster, cheaper. The team wants realistic deadlines, fewer pivots, focus on quality.…
