Complete Machine Learning Model in ONE Video | Water Potability | Beginner Friendly

In this video, I’ll teach you how to build two complete machine learning models from scratch using Python. We will work on both a classification project (Water Potability Prediction) and a regression project (Car Price Prediction) — all in ONE video, explained in the simplest way possible. --- 🚰 Project 1: Water Potability Prediction (Classification) We build a model that predicts whether water is safe to drink or not. Topics covered: ✔ Loading dataset using Pandas ✔ Checking missing values (pH, Sulphate, Trihalomethanes) ✔ Understanding dataset imbalance ✔ Filling missing values using mean ✔ EDA: pH histogram & potability bar graph ✔ Train-test split ✔ random_state=42 explained ✔ StandardScaler & scaling formula ✔ Logistic Regression ✔ Random Forest Classifier ✔ Gradient Boosting Classifier ✔ Classification Report explained (Accuracy, Precision, Recall, F1-score, Support) --- 🚗 Project 2: Car Price Prediction (Regression) We build a model that predicts car prices using machine learning. Topics covered: ✔ Selecting features ✔ Train-test split ✔ Mean Absolute Error (MAE) ✔ Mean Squared Error (MSE) ✔ RMSE ✔ R² Score explained as accuracy-like measure ✔ Why accuracy does NOT apply to regression ✔ When to use which metric --- 📘 ML Concepts Explained Simply What is StandardScaler? Why scaling is important Does scaling make values 0–1? Why Random Forest doesn’t need scaling Precision vs Recall What is Support? Regression vs Classification Why dataset imbalance reduces accuracy --- 🔧 Libraries Used Pandas NumPy Matplotlib Scikit-learn --- 🎯 Ideal For Students with ML/Data Science projects Beginners learning machine learning Anyone preparing for viva or interviews Engineers practicing end-to-end ML pipeline --- ✨ Download code + datasets (check comments) If you want more ML projects, comment and I’ll make a video! --- 🔥 Hashtags #machinelearning #mlproject #datascience #python #waterpotability #carpriceprediction #scikitlearn #beginnersfriendly #projecttutorial #collegestudents #classification #regression #randomforest #gradientboosting #logisticregression #eda #preprocessing #codingtutorial #youtubelearning #pythonprojects #mltutorial