4.8 (25,486) reviews 60,000
37,900*
NO COST EMI : 6,317 p.m for 6 Months
*Offer valid till 12th October 2025
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The following topics are covered in "Machine Learning"
Foundation:
Machine Learning Introduction: Supervised and Unsupervised Learning
Multiple Linear Regression
Decision Tree:
Naive Bayes:
Support Vector Machines:
Association Rule:
Expert:
Neural Net:
Random Forest:
Recommendation Engine:
Dimension Reduction:
Enrolling at DataMites was one of the best decisions I made for my career. Coming from a freelance writing background with no prior technical experience, I was initially unsure about stepping into the field of data analytics. But DataMites made the transition smooth and achievable. I’d highly recommend them to anyone looking for a guided, industry-ready data analytics course. A true DataMites success story!
To succeed in Machine Learning, learners should have a good grasp of mathematics (linear algebra, probability, and statistics), programming languages like Python or R, knowledge of data preprocessing and analysis, understanding of algorithms and model evaluation techniques, and hands-on experience with ML tools and libraries such as TensorFlow, Scikit-Learn, or PyTorch. Problem-solving, critical thinking, and domain knowledge also play a big role.
Commonly used ML tools include:
Machine Learning encompasses a wide variety of models, often grouped as:
A typical Machine Learning Expert course covers:
Some in-demand roles include:
The cost of Machine Learning training in Dehradun typically ranges between INR 40,000 – INR 1,50,000, depending on the institute, duration, and whether it’s an online or classroom program.
Yes. Machine Learning is one of the fastest-growing fields globally. Companies are hiring professionals to build AI-driven solutions in healthcare, banking, e-commerce, manufacturing, and IT services. India is among the top markets, with demand projected to grow by 40%+ annually in the coming years.
Machine Learning is the future because it enables automation at scale, personalizes user experiences, and continuously improves over time. As data volumes grow, ML will be key to unlocking new innovations across industries.
A Machine Learning algorithm is a set of mathematical instructions or rules that enables a system to learn patterns from data, make predictions, or take decisions without being explicitly programmed for each task.
Machine Learning helps automate decision-making, extract insights from massive datasets, improve efficiency, reduce costs, and create personalized user experiences. It’s the driving force behind innovations in AI, IoT, automation, and big data analytics.
Yes, freshers can get entry-level jobs if they have strong ML skills, project experience, and certifications. Positions like Junior Data Scientist, ML Intern, or Research Assistant are accessible to beginners. Building a strong portfolio and hands-on projects improves job prospects.
The future of ML is vast, with applications expanding into autonomous vehicles, personalized healthcare, smart cities, cybersecurity, climate science, and robotics. ML professionals will remain in high demand globally.
Yes, basic coding knowledge is important. Python is the most widely used language in ML due to its simple syntax and rich ecosystem of libraries. While some tools offer low-code/no-code platforms, programming skills provide deeper control and flexibility.
A solid understanding of linear algebra, probability, statistics, and calculus is essential. These concepts are the foundation of algorithms like regression, neural networks, and optimization. However, you can start with practical applications and learn math concepts alongside.
For beginners, learning the fundamentals of ML can take 3–6 months with consistent practice. Mastery, including advanced algorithms and deployment skills, may take 1–2 years depending on your background.
Datasets are the foundation of ML. Algorithms rely on clean, high-quality, and diverse data to learn patterns. Poor-quality data leads to biased or inaccurate models, making data preprocessing and feature engineering crucial steps.
Upon completing the program, students receive a globally recognized Machine Learning certification accredited by IABAC (International Association of Business Analytics Certifications). This adds strong credibility to your resume and opens career opportunities worldwide.
DataMites is preferred for its expert mentors, industry-driven curriculum, hands-on projects, and excellent placement support. With global certifications and real-time case studies, learners gain both knowledge and practical exposure needed to succeed.
Yes, the course includes internship opportunities that provide real-world exposure. Internships help bridge the gap between theory and practice, allowing students to work on live projects and gain professional experience.
Yes, DataMites provides flexible EMI payment plans to make the course financially accessible. Learners can pay fees in easy installments, making it convenient for students as well as working professionals.
Absolutely! DataMites offers free trial sessions so learners can evaluate the teaching style, curriculum, and training methodology before enrolling.
The course fee generally ranges between INR 30,000 and INR 60,000, depending on the program format, duration, and level of specialization. EMI options and periodic discounts are also available.
Yes, DataMites offers comprehensive placement assistance, including resume building, mock interviews, and job referrals. With a strong hiring partner network, learners get access to better career opportunities.
DataMites follows a transparent refund policy that varies depending on course terms and timing of cancellation. Students should review the details carefully at the time of enrollment.
Learners receive comprehensive study materials, recorded video sessions, project resources, and practice datasets. These resources support learning during and even after course completion.
The training is delivered by experienced industry professionals with strong expertise in AI and ML. They bring real-world insights and mentor students through projects and case studies.
Yes, the course includes live projects and real-world case studies, ensuring learners can apply their knowledge in practical scenarios and become job-ready.
The program typically runs for around 6 months, including 100+ hours of live online training. Flexible batch options such as weekday and weekend sessions are available.
Yes, students have access to recorded sessions and doubt-clearing support, ensuring they can catch up on missed lessons without disrupting their progress.
Learners build expertise in Python, Machine Learning, Deep Learning, NLP, Computer Vision, and deployment techniques. These in-demand skills prepare them for diverse ML roles across industries.
The Flexi Pass allows learners to attend unlimited batches of a chosen course for one year. This flexibility helps students revise topics, rejoin classes, and learn at their own pace.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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