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Beginner6 tutorials

Start Your ML Journey

No prior experience needed. Learn the fundamentals of machine learning with hands-on tutorials designed for absolute beginners.

Recommended Learning Path

1Python Basics
2Data Preprocessing
3Linear Regression
4Decision Trees
5Neural Networks

Your First Neural Network

Build a simple neural network from scratch and understand the fundamentals of deep learning. Learn about neurons, layers, and activation functions.

Neurons & LayersActivation FunctionsForward Pass+2 more
30 min5 lessons

Understanding Linear Regression

Learn the mathematics behind linear regression and implement it step by step. The foundation of predictive modeling.

Cost FunctionsGradient DescentFeature Scaling+1 more
25 min4 lessons

Introduction to Python for ML

Get started with Python programming for machine learning. Cover NumPy, Pandas, and essential data manipulation.

NumPy BasicsPandas DataFramesData Cleaning+3 more
45 min6 lessons

Data Preprocessing Essentials

Learn how to prepare your data for ML models. Handle missing values, encode categories, and scale features.

Missing ValuesEncodingNormalization+2 more
35 min5 lessons

Classification with Decision Trees

Understand how decision trees work and build your first classification model. Visual and intuitive approach to ML.

Tree StructureSplitting CriteriaPruning+2 more
40 min5 lessons

Introduction to Supervised Learning

Master the fundamentals of supervised learning with labeled data. Understand regression vs classification problems.

Labeled DataRegression TasksClassification Tasks+1 more
30 min4 lessons

Ready for More?

Once you have completed the beginner tutorials, advance to intermediate concepts.

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