Summary
This online Machine Learning course by Coding Blocks is one of its kind. The course comprising of over 200 recorded tutorials and 20 mini projects for teaching, boasts of an all-exhaustive and highly comprehensive curriculum. The Machine Learning online course starts with the essentials of Python, gradually moving towards to concepts of advanced algorithms and finally into the cores of Machine Learning. With our key focus being the live projects, we dive deeper into the fundamentals of classical algorithms and deep neural networks enabling the students to work out optimising solutions to the real-world problems. It is just a matter of weeks before the students actually begin building intelligent systems, working on AI algorithms and data crunching. As a part of these online Machine Learning classes, a detailed overview of the programming fundamentals and Python Basics would be covered with the students so as to make them grasp the concepts of Machine Learning quickly and effortlessly.
Course Highlights
The course is broadly divided in 7 categories, and covers many topics from Coding Blocks Data Science & Deep Learning Course.
• Introduction to Machine Learning
• Supervised Learning Algorithms
• Unsupervised Learning
• Deep Learning
• Deep Learning in Computer Vision
• Deep Learning Natural Language Processing
• Reinforcement Learning
• Expert Doubt Support for 6 months (only for Premium version)
Comparison with related offerings
| Machine Learning Fundamentals | Deep Learning Fundamentals | Machine Learning Master | Data Science Master | |
|---|---|---|---|---|
| Python Basics | ❌ | ❌ | ✅ | ✅ |
| Python For Data Science | ❌ | ❌ | ✅ | ✅ |
| Data Acquisition | ❌ | ❌ | ❌ | ✅ |
| Web APIs/ Scrapping | ❌ | ❌ | ❌ | ✅ |
| Machine Learning Algorithms | ✅ | ❌ | ✅ | ✅ |
| Deep Learning Algorithms | ❌ | ✅ | ✅ | ✅ |
| Model Deployment | âś… | âś… | âś… | âś… |
| Quizzes | âś… | âś… | âś… | âś… |
| Assignments/Challenges | âś… | âś… | âś… | âś… |
| Mini Projects | 10 ML Projects | 10 DL Projects | 18 ML + DL Projects | 20 Data Science Projects |
| Major Projects | 1 Capstone Project | 2 Capstone Projects | 2 Capstone Projects | 2 Capstone Projects |
| Pre-requisties | Python Programming | Python, ML Basics | Programming Basics | Programming Basics |
| Time Required | 2-3 Months | 2-3 Months | 4-5 Months | 4-5 Months |
Pre-requisites
Prior programming experience & OOPS concepts in any language is a must, knowledge of Python is recommended but not mandatory.
Course Content
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Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.
Manu is a Deep Learning Researcher and an avid python programmer. He has multiple research papers published in international conferences and journals. His interest lies in Computer Vision and is currently doing independant research in the same domain. He has also won multiple hackathons including Smart Odisha Hackathon and was awarded by the Chief Minister ot Odisha, Shri Naveen Patnaik. He can be found at www.manuspillai.in.
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