Make Your First AI Project Under 3 Minutes

Welcome to your first AI project! In this video, we’ll build a machine learning model to predict food delivery times based on real-world factors like distance, traffic, and weather conditions. Whether you’re a beginner or looking for a practical AI project, this step-by-step guide has you covered.

What You’ll Learn:

How to preprocess and clean data for AI models.
The basics of Linear Regression.
Evaluating your model's performance using Mean Absolute Error (MAE).
Visualizing predictions with graphs.

Dataset:
We’re using the Food Delivery Time Prediction Dataset from Kaggle. This dataset is perfect for beginners and showcases the impact of real-world variables on delivery times.

Tools Used:
Libraries: Pandas, Sklearn, Matplotlib (pip install pandas scikit-learn matplotlib)

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Chapters:
0:00 Introduction
0:25 Project Overview
0:38 Tools and Setup
0:50 Step 1: Import Libraries And Dataset
1:13 Step 2: Handle Missing Values And Preprocess Data
1:38 Step 3: Split The Data, Train And Evaluate The Model
2:14 Step 4: Visualizing Results
2:18 Output
2:37 Conclusion and whole script.

Stay tuned for more AI and coding tutorials designed to make learning simple and fun.

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#machinelearning #artificialintelligence #datascience #python #programming #deeplearning #coding #tech #computerscience #dataanalytics #softwaredevelopment #webdevelopment #innovation #technology #ai