Machine Learning Course Features


Machine Learning Course Fee in LUCKNOW

Live Virtual

Instructor Led Live Online


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 48-Hour Classroom Sessions
  • 20 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance


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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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The following topics are covered in "Machine Learning"


Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies


Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning




The Machine Learning course in Lucknow empowers the students with essential skills and knowledge in this thriving field. The students can gain expertise in Python/R programming, machine learning algorithms, and model deployment, setting the stage for a successful career in AI. According to a Markets and Markets report, the market size of machine learning is expected to reach USD 8.81 in 2022 at a CAGR rate of 44.1%.

DataMites is a highly esteemed institute known worldwide for its exceptional Machine Learning Training in Lucknow. This comprehensive training encompasses crucial subjects such as Python/R programming, machine learning algorithms, and model deployment. The course is endorsed by IABAC, guaranteeing that students receive an internationally recognized IABAC Certification upon successful completion. The training spans a duration of 5 months, consisting of 400 learning hours, including 100 hours of interactive online training sessions. Additionally, DataMites offers on-demand offline machine learning training in Lucknow, providing a hands-on learning experience. Students gain access to the data science cloud lab and actively participate in more than 5 real-life projects, fostering the development of their practical skills.

DataMites offers specialized courses such as:

  1. Machine Learning Expert Training
  2. Machine Learning Foundation Training 
  3. Machine Learning- Tensor Flow 
  4. Machine Learning with Python Training
  5. Machine Learning with R Training

DataMites provides an all-encompassing set of key features for its Machine Learning Training in Lucknow, which include:

  1. Faculty and Ashok Veda as Lead Mentor
  2. Course Curriculum
  3. Global Certification
  4. Hardcopy Learning materials and books
  5. Internship Opportunity
  6. Placement assistance and Job references
  7. Flexible Learning
  8. Affordable pricing and Scholarships.
  9. Resume Preparation
  10. DataMites Exclusive Learning Community
  11. Live client project

Lucknow, the city of Nawabs, delights with its rich heritage, exquisite cuisine, and gracious hospitality. In Lucknow, the flourishing field of machine learning offers promising career opportunities, empowering individuals to dive into the realm of cutting-edge technology and contribute to innovative solutions that shape the future. Pursuing a machine learning certification in Lucknow can further enhance your prospects in this dynamic industry. DataMites provides comprehensive online Machine Learning training in Lucknow, offering students a well-rounded curriculum, study materials, job training, and mock tests to enrich their learning journey. The salary of a machine learning engineer in India ranges from INR4,80,000 per year according to a Glassdoor report. Join DataMites for more information about the Machine learning training course in Lucknow.

Along with machine learning courses, DataMites also provides data analytics, deep learning, artificial intelligence training, IoT, data analyst, data engineer, mlops, tableau, data science, data mining, python for data science and python courses in Lucknow.


Machine Learning is a branch of artificial intelligence that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed.

Skills necessary for Machine Learning include proficiency in programming languages like Python or R, knowledge of statistics and mathematics, data analysis and preprocessing, understanding of algorithms and model evaluation techniques, and domain expertise.

Commonly used tools in Machine Learning include Python libraries such as scikit-learn, TensorFlow, and PyTorch for building and training models, Jupyter Notebook for interactive development, and tools like pandas and numpy for data manipulation and analysis.

There are numerous models in Machine Learning, including linear regression, decision trees, random forests, support vector machines (SVM), naive Bayes, k-nearest neighbours (KNN), neural networks, and more.

The content of a Machine Learning expert course may vary, but it typically includes topics like data preprocessing, feature selection, model training and evaluation, regression, classification, clustering, dimensionality reduction, and deep learning techniques.

Job roles associated with Machine Learning include Machine Learning Engineer, Data Scientist, Data Analyst, Research Scientist, AI Engineer, and Data Engineer.

The machine learning training cost in India ranges from INR 70,000 to 1,00,000.

Yes, there is a high demand for Machine Learning professionals across various industries due to the increasing importance of data-driven decision-making and the integration of AI technologies in businesses.

The three main types of Machine Learning are supervised learning, unsupervised learning, and reinforcement learning.

Machine Learning is commonly applied in various domains such as healthcare (diagnosis, drug discovery), finance (fraud detection, stock market prediction), marketing (customer segmentation, recommendation systems), computer vision (image recognition, object detection), natural language processing (sentiment analysis, language translation), and many more.

The purpose of utilizing machine learning is to enable computers to automatically learn from data and improve their performance or make predictions without being explicitly programmed, thereby helping in tasks like pattern recognition, prediction, decision-making, and automation.

Recurrent Neural Network (RNN) is a type of neural network architecture designed to process sequential data by using recurrent connections. It is commonly used for tasks like natural language processing, speech recognition, and time series analysis.

K-nearest neighbours (KNN) are used for classification and regression tasks, often applied in recommendation systems and pattern recognition. RNN is used for sequential data analysis, such as text generation, speech recognition, and machine translation.

K-nearest neighbours (KNN) are characterized by non-parametric and lazy learning, suitable for pattern recognition tasks. Support Vector Machines (SVM) are based on maximizing the margin between classes, and they are commonly used for classification and regression tasks in various domains.

The "10 times rule" in machine learning suggests that to have a reliable and accurate model, you should aim to have at least 10 times the number of observations (samples) compared to the number of parameters in your model. This rule helps avoid overfitting and ensures better generalization of the model.

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DataMites Institute in Lucknow offers benefits such as experienced trainers, comprehensive course content covering various Machine Learning concepts, hands-on practical sessions, industry-relevant projects, and post-training support, making it a valuable choice for Machine Learning training.

The Machine Learning Training provided by DataMites in Lucknow is worth considering due to its quality curriculum, expert trainers, practical-oriented approach, and the opportunity to gain in-depth knowledge and skills in Machine Learning, enhancing career prospects in the field.

The training course spans over 5 months, providing students with a total of 400 hours of dedicated learning, including 100 hours of interactive online training.

The machine learning training fee in Lucknow 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 Institute in Lucknow provides a range of machine learning courses, including Machine Learning Expert Training, Machine Learning Foundation Training, Tensorflow for Machine Learning, Python for Machine Learning, and R for Machine Learning Training.

The Machine Learning Expert Course offered by DataMites in Lucknow is open to individuals who have a background in computer science, mathematics, statistics, or other related fields, making them eligible for enrollment.

DataMites in Lucknow provides Machine Learning courses with placement assistance, offering support to students in finding job opportunities in the field. The DataMites Placement Assistance Team (PAT) provides various services, such as connecting students with job opportunities, assisting with resume creation, conducting mock interviews with industry professionals, and discussing interview-related questions.

At DataMites, a comprehensive learning approach is followed, which encompasses theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment. This approach ensures that students receive a holistic learning experience during their training at DataMites.

DataMites offers the Flexi-Pass option, allowing participants to access training sessions for a duration of 3 months. This enables them to receive extended support and guidance, ensuring that doubts are addressed and concepts can be reviewed as needed.

DataMites provides a complimentary demo class, giving participants a preview of the training program and an opportunity to understand 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 highly respected in the industry for its credibility and validation.

DataMites provides participants with various payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal. These options ensure convenient and flexible payment methods for participants.

DataMites in Lucknow offers Machine Learning courses through different training methods, such as live virtual training, blended learning (a mix of online and classroom training), and on-demand classroom training. This ensures learners have the flexibility to choose their preferred mode of learning based on their needs and preferences.

The salary of a machine learning engineer in India ranges from INR4,80,000 per year according to a Glassdoor report.

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: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

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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