ML Pro: Machine Learning AI

The complete machine learning and deep learning course, fully unlocked with no ads and no subscription. One payment, yours to keep.

ML Pro is the complete, unlocked, advertisement free edition of our machine learning and artificial intelligence course. Every lesson is included, for a single payment, with no subscription.

ONE PAYMENT, THE WHOLE COURSE

No monthly charge. No advertisements interrupting a difficult explanation. No topics locked behind a second purchase.

WHAT IS INCLUDED

Machine learning foundations, including the training workflow, evaluation metrics, overfitting, and the bias variance tradeoff.

Supervised learning, including linear and logistic regression, decision trees, random forests, support vector machines, k nearest neighbours and naive Bayes.

Unsupervised learning, including k means and hierarchical clustering, dimensionality reduction, principal component analysis and anomaly detection.

Deep learning, including perceptrons, activation functions, backpropagation, convolutional neural networks, recurrent networks, LSTMs and transformers.

Reinforcement learning, including agents, rewards, Q learning and policy based methods.

Natural language processing, including tokenization, embeddings and how large language models are constructed.

Tooling, covering where Python, TensorFlow, Keras, scikit learn, NumPy and Pandas fit into a real workflow.

Applied case studies across healthcare, finance, recommendation systems, fraud detection and computer vision.

WHY THE PRO EDITION

Uninterrupted reading. Machine learning topics take sustained concentration, and an advertisement in the middle of a backpropagation explanation costs you more than it costs us.

Complete coverage. Nothing in the syllabus is withheld.

Full text search across every lesson, which is what you want the night before an interview.

One payment, no renewal. You are not signing up for a recurring charge.

WHO BUYS THE PRO EDITION

Developers moving into machine learning engineering or data science who want a single reliable reference.

Students taking artificial intelligence or data science courses who need a clearer second explanation than their lecture notes.

Candidates preparing for machine learning interviews, where questions still concentrate on fundamentals rather than the newest library.

Professionals who need to understand the models being deployed in their industry.

WHY THIS MATTERS NOW

Understanding how models are trained, why they fail, and what they genuinely cannot do has become part of the baseline for technical work. That understanding does not go stale when a framework version changes.

Buy once, keep it, study at your own pace.

Questions, corrections or a topic request? Email mail@ehsanur.com — we update the app based on what learners ask for.