Complete Machine Learning 2025 A-Z™: 10 Real World Projects

Our exotic journey will include the concepts of:

1. Comparison between Artificial intelligence, Machine Learning, Deep Learning and Neural Network.
2. What is data science and its need.
3. The need for machine Learning and introduction to NLP (Natural Language Processing).
4. The different types of Machine Learning – Supervised and Unsupervised Learning.
5. Hands-on learning of Python from beginner level so that even a non-programmer can begin the journey of Data science with ease.
6. All the important libraries you would need to work on Machine learning lifecycle.
7. Full-fledged course on Statistics so that you don’t have to take another course for statistics, we cover it all.
8. Data cleaning and exploratory Data analysis with all the real life tips and tricks to give you an edge from someone who has just the introductory knowledge which is usually not provided in a beginner course.
9. All the mathematics behind the complex Machine learning algorithms provided in a simple language to make it easy to understand and work on in future.
10. Hands-on practice on more than 20 different Datasets to give you a quick start and learning advantage of working on different datasets and problems.
11. More that 20 assignments and assessments allow you to evaluate and improve yourself on the go.
12. Total 10 beginner to Advance level projects so that you can test your skills.