Best YouTube Channel For Machine Learning Project in Hindi
Best YouTube Channel For Machine Learning Project in Hindi
(1) iNeuron Hindi
If you’re diving into data science, AI, and machine learning, iNeuron, founded by Hitesh Choudhary, is undoubtedly one of the most prominent and respected channels in the field.
Hitesh is commonly known as India’s top tech YouTuber due to his exceptional technical knowledge and ability to explain complicated things in simple terms. His channel is a goldmine of information for those who want to become data scientists, particularly for those who are more interested in doing things themselves through real projects.
One of the greatest attributes of the iNeuron channel is its vast library of complete, end-to-end data science projects. These are not even cursory tutorials or superficial summaries—each video typically takes 15 to 20 hours, documenting every stage of an actual project. From exploratory data analysis (EDA) and data cleaning to model creation, assessment, and ultimately deployment, nothing is omitted. This amount of detail is extremely beneficial for students who wish to see the complete life cycle of a machine learning project.
However, while the content is comprehensive and well-structured, a few areas could be improved. One noticeable drawback is the lengthy, off-topic conversations throughout the videos. The instructor often spends significant time engaging in casual discussions with the audience, which, while well-intentioned, can sometimes feel like a distraction. These tangents can add unnecessary length to the sessions and may dilute the core learning experience.
Secondly, there’s usually a lot of repetition or over-describing simple concepts such as GitHub usage, exception handling, or Python package installation. Although these are crucial topics, they get lots of undeserved space in the course, even if most students who make it to the project stage are bound to already know such basics.
All in all, the iNeuron channel is still a goldmine for hands-on data science learning, particularly for those who are keen on learning actual, real-world projects. With a little more editing and tighter concentration, the material could be even more effective and impactful.
(2) CampusX
Perhaps the most overlooked but highly valuable YouTube channel for future data scientists and AI/ML hobbyists is “CampusX” by Nitish Singh. Being from an electrical engineering background, Nitish has been able to make a success of himself as a developer, data scientist, and now a professional full-time mentor with his content. His journey is very motivational for many students and working professionals from non-CS backgrounds who want to make a career in the tech industry. But what makes his channel so special is the precision, organization, and effectiveness of his teaching approach.
Nitish’s channel, CampusX, is a treasure trove for data science and machine learning projects. His emphasis is on real-world implementation, and he keeps on providing quality content that takes you through real-world challenges. From supervised learning to natural language processing to deep learning, you’ll get well-organized, complete working projects on his channel.
What makes his teaching particularly effective is his no-nonsense, straight-to-the-point method his. In contrast to most other teachers who waste a lot of time talking about fundamentals or going into lengthy tangents, Nitish values the time of the learner. When you work through a project, if it involves something that has to be understood first, he just says, “Go watch my in-depth video on this subject first; it is already up on the channel.” This keeps the project videos to the point and brief so you can get moving quicker without missing the necessary background.
Due to this approach, where some YouTube tutors spend 10+ hours talking about a single project, Nitish usually completes entire end-to-end ML projects in 3–4 hours, without any compromise onquality. From data preprocessing to model building, evaluation, and even deployment, each step is explained with transparent code and best practices.
Briefly put, CampusX is a channel that anyone serious about learning data science, AI, or ML simply can’t afford to miss. Nitish Singh has been able to hit the exact sweet spot between depth and efficiency, rendering his channels an invaluable asset for both beginners and intermediate learners.
(3) CodeBasics
Where high-quality, authentic mentorship in data science, AI, machine learning, and deep learning is concerned, there is one name that always stands out—Dhavall Patel, the author of the highly successful YouTube channel Codebasics. With an engineering background and experience in the field himself, Dhaval possesses a unique combination of technical acumen and practical experience that learners find extremely beneficial.
What sets Dhaval apart as a mentor is not only his expertise but also the ease with which he makes complicated subjects simple. Whether it’s preprocessing data, model evaluation, or the finer points of deep learning, his approach is such that even a person with no technical background can pick up on the ideas with ease. He works step by step, shying away from technical jargon whenever possible, and emphasizes practical applications over mere textbook theory.
One of his channel’s greatest strengths is the originality of his projects. Rather than using monotonous or highly theoretical examples, he constructs projects that are practical as well as what the business world wants from a data scientist. From resume screeners to ML-driven dashboards, every project has adequate business context along with an end-to-end explanation from EDA to deployment.
He also has a Hindi-language channel, which is a blessing for native speakers who prefer learning in their language. The same content of good quality is made available in a manner that’s easier to understand, again demonstrating his devotion to providing access to education.
Arguably the most significant evidence of Dhaval’s influence is that some of his students have been hired by industry leaders such as Google. This is something of a huge endorsement of the quality and applicability of his content. He’s not only explaining theory—he’s guiding students to become employable professionals.
Briefly, Codebasics is not merely a YouTube channel. It’s a portal to an actual career in data science, coached by a mentor who takes pride in his students’ success and understands what it takes to achieve it.
Final Conclusion on Best YouTube Channel For Machine Learning Project in Hindi
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