4.8 (22,456) 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!
Anyone with a basic understanding of mathematics, programming, or data concepts can learn Machine Learning. It is ideal for fresh graduates, IT professionals, engineers, statisticians, business analysts, and even career switchers who want to enter the AI and Data Science field.
The fees for Machine Learning courses in India typically range between ₹40,000 to ₹80,000, depending on the institute, duration, mode of learning (online/offline), and certifications included.
The duration of Machine Learning courses depends on the chosen learning format. Certification programs can be completed within 3 to 6 months.
Machine Learning Engineers in India earn an average of ₹7–12 LPA, with freshers starting around ₹5–6 LPA. With experience and expertise, professionals can earn upwards of ₹20–30 LPA, especially in leading tech companies, fintech, healthcare, and e-commerce industries.
After completing Machine Learning training, you can apply for roles such as:
Machine Learning is transforming businesses by enabling data-driven decisions and automation. Some uses include:
Machine Learning applications are vast and include:
No. Artificial Intelligence (AI) is the broader concept of machines simulating human intelligence, while Machine Learning (ML) is a subset of AI focused on algorithms that learn from data and improve over time without being explicitly programmed.
Machine Learning is a core component of Data Science. While Data Science involves collecting, cleaning, and analyzing data, Machine Learning provides the predictive and automated algorithms that help extract insights and make decisions.
Yes! Machine Learning is one of the fastest-growing fields globally. With industries rapidly adopting AI solutions, the demand for ML professionals is expected to grow exponentially in sectors like IT, healthcare, fintech, autonomous systems, and cybersecurity.
Yes, freshers can start their careers in Machine Learning by taking up internships, entry-level roles, or specialized programs like Machine Learning Foundation/Expert Courses. A strong grasp of Python, statistics, and ML algorithms, along with project experience, greatly increases job opportunities.
Machine Learning training equips learners with the skills needed to solve real-world problems using AI. It helps professionals:
Basic coding knowledge (Python, R, or Java) is highly recommended for Machine Learning. However, many beginner-friendly courses start with Python basics, making it easier even for non-programmers to learn ML.
To become successful in Machine Learning, you need:
Machine Learning professionals are in demand across industries such as:
Machine Learning can be challenging initially due to math and coding, but structured training programs simplify concepts. With practice, even beginners can master it in months.
Popular ML tools include Python, R, TensorFlow, Scikit-Learn, PyTorch, NumPy, Pandas, Keras, Power BI, Tableau, Apache Spark, and Google Colab.
Yes! Professionals from business, statistics, or even mechanical/electrical backgrounds can transition into ML. Business analysts and finance professionals often learn ML to boost decision-making.
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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