MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

Machine Learning Course Fee in KOHIMA

Live Virtual

Instructor Led Live Online

60,000
39,795

  • 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

36,000
24,045

  • 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

Classroom

In - Person Classroom Training

60,000
45,045

  • 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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BEST MACHINE LEARNING CERTIFICATIONS

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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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN KOHIMA

The following topics are covered in "Machine Learning"

Foundation:

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

Expert:

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

OFFERED MACHINE LEARNING COURSES IN KOHIMA

MACHINE LEARNING COURSE REVIEWS

ABOUT MACHINE LEARNING COURSE IN KOHIMA

The machine learning course in Kohima offers a comprehensive course that provides hands-on training, expert guidance, and real-world applications to enhance your skills and career prospects. According to a Fortune Business Insight report, the market size of Machine Learning (ML) worldwide reached $19.20 billion in 2022 and is projected to experience substantial growth, with an estimated value of $26.03 billion in 2023, leading to a significant surge towards $225.91 billion by 2030.

DataMites, renowned globally for its outstanding Machine Learning Training in Kohima, is an esteemed institute that offers a comprehensive course covering essential topics such as Python/R programming, machine learning algorithms, and practical implementation of machine learning models. One remarkable aspect of this program is its accreditation by IABAC, ensuring students receive an internationally recognized IABAC Certification upon successful completion. The training course spans five months, providing students with a total of 400 hours of dedicated learning, including 100 hours of interactive online training. DataMites also provides the convenience of on-demand offline machine learning training in Kohima, enabling students to fully engage in a comprehensive learning experience. Furthermore, students gain unlimited access to the data science cloud lab, enhancing their practical skills, and they have the opportunity to work on more than five real-world projects.

DataMites also offers exclusive 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 offers comprehensive key features for Machine Learning Training in Kohima that include:

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

Kohima, the capital city of Nagaland, is a picturesque destination nestled amidst lush green hills, known for its rich cultural heritage and warm hospitality. Experience the serene beauty and vibrant traditions of Kohima, making it a captivating place to explore. Kohima, with its growing opportunities and supportive ecosystem, is an ideal city to pursue a successful machine learning career. Students are advised to take advantage of the course from the thriving machine learning institutes in Kohima. DataMites provides comprehensive online Machine Learning training in Kohima. The program provides a well-structured curriculum, study materials, job-focused training, and practice exams, ensuring a rewarding learning journey for those looking to excel in this field. The salary of a Machine learning engineer in India ranges from INR 6.2 LPA as per the Ambition Box report. For detailed information about the Machine Learning Training Course in Kohima, consider joining DataMites.

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

ABOUT MACHINE LEARNING TRAINING IN KOHIMA

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

Required skills for Machine Learning include a strong understanding of mathematics and statistics, programming skills (Python, R, etc.), data manipulation and analysis, knowledge of machine learning algorithms, data visualization, and problem-solving abilities.

Commonly used tools in Machine Learning include Python libraries like TensorFlow, scikit-learn, and Keras, as well as R programming language, MATLAB, and tools for data manipulation and visualization such as pandas and matplotlib.

Machine Learning consists of various models, including linear regression, logistic regression, decision trees, random forests, support vector machines, naive Bayes, k-nearest neighbours, and neural networks, among others.

A Machine Learning expert course typically covers advanced concepts and techniques in Machine Learning, including deep learning, natural language processing, computer vision, reinforcement learning, and hands-on experience in building and deploying machine learning models.

Job roles related to Machine Learning include Machine Learning Engineer, Data Scientist, Data Analyst, AI Researcher, Data Engineer, and AI Consultant, among others.

The cost of machine learning training in India typically ranges between INR 70,000 and 1,00,000.

Yes, Machine Learning is in high demand due to its ability to extract valuable insights and make predictions from vast amounts of data. It is used in various industries such as healthcare, finance, e-commerce, and marketing.

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

Machine Learning finds applications in various fields such as predictive analytics, fraud detection, image and speech recognition, recommendation systems, autonomous vehicles, natural language processing, and personalized medicine.

Python is considered the most suitable programming language for Machine Learning due to its simplicity, extensive libraries for data manipulation and analysis, and popular frameworks like TensorFlow and scikit-learn.

Machine Learning algorithms include linear regression, logistic regression, decision trees, random forests, support vector machines, naive Bayes, k-nearest neighbours, clustering algorithms (e.g., K-means, DBSCAN), and deep learning algorithms like convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Some popular and widely used machine learning algorithms include linear regression, logistic regression, decision trees, random forests, k-nearest neighbours (KNN), support vector machines (SVM), and artificial neural networks (including deep learning architectures).

KNN stands for k-nearest neighbours, a supervised learning algorithm used for both classification and regression tasks in Machine Learning. It determines the class or value of a data point by considering its k nearest neighbours in the feature space.

Yes, Convolutional Neural Network (CNN) can be classified as a machine learning algorithm. CNNs are a type of deep learning algorithm commonly used for image recognition and computer vision tasks.

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FAQ’S OF MACHINE LEARNING TRAINING IN KOHIMA

DataMites Institute in Kohima offers comprehensive and industry-relevant Machine Learning training courses, with experienced instructors, practical hands-on projects, and job placement assistance, making it an excellent choice for individuals looking to gain expertise in Machine Learning.

The Machine Learning Training offered by DataMites in Kohima provides a strong foundation in Machine Learning concepts, practical application of algorithms, exposure to real-world projects, and support for job placement, making it a compelling option for those seeking quality training and career opportunities in the field.

The program spans over 5 months and includes 400 hours of learning, with an additional 100 hours of live online training.

The cost of machine learning training in Kohima differs based on the mode of learning. Live virtual training is priced at INR 60,000, blended mode learning is priced at INR 36,000, and on-demand classroom training is priced at INR 60,000.

DataMites in Kohima provides various machine learning courses, such as Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.

Individuals with a background in computer science, mathematics, statistics, or related fields are eligible to enrol in the Machine Learning Expert Course offered by DataMites in Kohima.

In Kohima, DataMites adopts a comprehensive learning approach that encompasses theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment. This approach ensures that students have a well-rounded learning experience.

DataMites provides a Flexi-Pass option, which allows participants to access training sessions for a period of 3 months. This option offers extended support and guidance, empowering individuals to clarify doubts, review concepts, and enhance their overall learning experience.

DataMites offers a complimentary demo class, providing participants with a preview of the training program and an overview of what they can anticipate during the training sessions.

Participants who successfully complete the Machine Learning training at DataMites will be awarded the prestigious IABAC® certification. This certification is highly regarded worldwide for its industry recognition and reputation.

DataMites provides participants with a variety of payment options, ensuring convenience and flexibility. Accepted payment methods include cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal.

DataMites in Kohima offers Machine Learning courses with diverse training approaches to cater to different preferences. Participants can choose from live virtual training, blended learning (a combination of online and classroom training), and on-demand classroom training. This flexibility allows learners to select the learning mode that suits their convenience the best.

The salary of a Machine learning engineer in India ranges from INR 6.2 LPA as per the Ambition Box 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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