4.8 (21,568) reviews 60,000
37,900*
NO COST EMI : 6,317 p.m for 6 Months
*Offer valid till 14th September 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!
Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed.
Essential skills for machine learning include a strong foundation in mathematics and statistics, proficiency in programming languages like Python or R, knowledge of data manipulation and visualization, an understanding of algorithms and data structures, and critical thinking and problem-solving abilities.
Some frequently used tools in machine learning are TensorFlow, PyTorch, scikit-learn, Keras, Apache Spark, Jupyter Notebook, and RStudio.
There is no definitive number, but the field of machine learning encompasses numerous distinct models, including linear regression, decision trees, random forests, support vector machines, neural networks, and more.
A Machine Learning expert course typically includes topics such as mathematics for machine learning, statistics, programming languages, data preprocessing, feature engineering, model selection and evaluation, and practical implementation of machine learning algorithms.
Some job positions related to Machine Learning include Machine Learning Engineer, Machine Learning Scientist, Data Analyst, AI Researcher, and Predictive Modeler.
The cost of machine learning training in India typically ranges between INR 70,000 and 1,00,000.
Yes, there is a strong demand for professionals skilled in Machine Learning. The increasing adoption of artificial intelligence and data-driven decision-making across various industries has created a significant demand for experts who can develop and deploy machine learning models.
The three primary types of machine learning are supervised learning, unsupervised learning, and reinforcement learning.
Machine learning is commonly applied in areas such as healthcare (diagnosis, drug discovery), finance (fraud detection, algorithmic trading), marketing (customer segmentation, recommendation systems), computer vision, natural language processing, and many more.
Yes, machine learning involves a significant amount of mathematics, including linear algebra, calculus, probability theory, and optimization algorithms. Understanding these mathematical concepts is crucial for building and understanding machine learning models.
Yes, it is possible for a fresher to secure a job in machine learning, but having a strong foundation in relevant skills, such as mathematics, programming, and understanding of machine learning concepts, is essential. Practical experience through projects and internships can also improve job prospects.
Python is considered one of the best programming languages for machine learning due to its simplicity, versatility, and rich ecosystem of libraries and frameworks specifically designed for machine learning, such as TensorFlow, PyTorch, and scikit-learn.
Some algorithms used in machine learning include linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbours, k-means clustering, and deep learning algorithms like convolutional neural networks (CNN) and recurrent neural networks (RNN).
Some of the most popular machine learning algorithms are linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbours (KNN), and deep learning algorithms like convolutional neural networks (CNN) and recurrent neural networks (RNN).
DataMites Institute in Nagpur offers advantages such as experienced trainers, a comprehensive course curriculum, hands-on projects, and industry-relevant training to provide a strong foundation in machine learning.
Individuals should consider the Machine Learning Training offered by DataMites in Nagpur for its practical approach, personalized attention, and industry connections, ensuring a holistic learning experience for a successful career in machine learning.
The training program has a duration of 5 months, providing students with a total of 400 hours dedicated to learning, which includes 100 hours of interactive online training.
The machine learning training fee in Nagpur is dependent on the learning mode selected. The options include INR 60,000 for Live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.
DataMites provides a variety of machine learning courses in Nagpur, including Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.
The Machine Learning Expert Course offered by DataMites in Nagpur is open to individuals who have a background in computer science, mathematics, statistics, or related fields, making them eligible for enrollment.
DataMites adopts a comprehensive learning approach that incorporates theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment, ensuring a holistic learning experience for students.
DataMites offers the Flexi-Pass option, allowing participants to access training sessions for a duration of 3 months. This provides them with extended support and guidance, enabling them to clarify doubts and review concepts as required.
DataMites provides a complimentary demo class, allowing participants to get a glimpse of the training program and gain an understanding of what they can expect during the training sessions.
Upon successful completion of the Machine Learning training, participants will receive the prestigious IABAC® certification, which is globally recognized and respected for its industry recognition and credibility.
DataMites provides participants with various payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal. These flexible payment methods ensure convenience for individuals enrolling in the courses.
DataMites in Nagpur offers Machine Learning courses through diverse training methods, such as live virtual training, blended learning (combining online and classroom training), and on-demand classroom training. This range of options grants learners the flexibility to select their preferred mode of learning.
According to the Ambition Box report, the salary of a Machine Learning engineer in India ranges from INR 6.2 per year.
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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