Curriculum


• Need of Machine Learning
• Types of Machine Learning - Supervised, Unsupervised and Reinforcement Learning
• Applications of Machine Learning

• Concept of Supervised learning
• Types of Supervised learning: Classification and Regression
• Overview of Regression
• Types of Regression: Simple Linear Regression and Multiple Linear Regression
• Assumptions in Linear Regression and Mathematical Concepts behind Linear Regression
• Hands On

• Overview of the Concept of Classification
• Comparison of Linear regression with Logistic regression
• Mathematics behind Logistic Regression: Detailed Formulas and Functions
• Concept of Confusion matrix and Accuracy Measurement
• True positives rate, False positives rate
• Threshold evaluation with ROCR
• Hands on

• Overview of Tree Based Classification
• Concept of Decision trees, Impurity function and Entropy
• Concept of Impurity function and Information gain for the right split of node and
• Concept of Gini index and right split of node using Gini Index
• Overfitting and Pruning Techniques
• Stages of Pruning: Pre-Pruning, Post Pruning and cost-complexity pruning
• Introduction to ensemble techniques and Concept of Bagging
• Concept of random forests
• Evaluation of Correct number of trees in a random forest
• Hands on

• Introduction to probabilistic classifiers
• Understanding Naive Bayes Theorem and mathematics behind the Bayes theorem
• Concept of Support vector machines (SVM)
• Mathematics behind SVM and Kernel functions in SVM
• Hands on

• Overview of Unsupervised Learning
• Types of Unsupervised Learning: Dimensionality Reduction and Clustering
• Types of Clustering
• Concept of K-Means Clustering
• Mathematics behind K-Means Clustering
• Concept of Dimensionality Reduction using Principal Component Analysis (PCA)
• Hands on

• Overview of Concept of Natural Language Processing (NLP)
• Concepts of Text mining with Importance and applications of text mining
• Working of NLP with text mining
• Reading and Writing to word files and OS modules
• Text mining using Natural Language Toolkit (NLTK) environment: Cleaning of Text, Pre-Processing of Text and Text classification
• Hands on

• Overview of Deep Learning with neural networks
• Biological neural network Versus Artificial neural network (ANN)
• Concept of Perceptron learning algorithm
• Deep Learning frameworks and Tensor Flow constants
• Hands on

• Concept of Time series analysis, its techniques and applications
• Time series components
• Concepts of Moving average and smoothing techniques such as exponential smoothing
• Univariate time series models
• Multivariate time series analysis and the ARIMA model
• Time series in Python
• Sentiment analysis using Python (Twitter sentiment analysis Use Case) and Text analysis
• Hands on

Training Options

Self-Paced Learning

16,900.00 11,900.00
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Videos built by industry experts.
  • Interactive Sessions as good as Classroom experience.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Cost Effective as well as Convenient.

Blended Learning

  • Everything in Self-Paced Plus
  • Learn in an instructor-led online training class

Corporate Training

Customized to your team’s needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24×7 learner assistance and support

Course Description

Machine Learning

Tecklearn’s Machine Learning training will help you develop the skills and knowledge required for a career as a Machine Learning Engineer. It helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning Certification Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. With these key concepts, you will be well prepared for the role of Machine Learning (ML) engineer. In addition, it is one of the most immersive Machine Learning online courses, which includes hands-on projects.

What you will Learn in this Course?

  • Introduction to Machine Learning
  • Concept of Supervised Learning and Linear Regression
  • Concept of Classification and Logistic Regression
  • Concept of Decision Trees and Random Forest
  • Naive Bayes and Support Vector Machine
  • Concept of Unsupervised Learning
  • Natural Language Processing and Text Mining Concepts
  • Introduction to Deep Learning
  • Time Series Analysis

Key Features

Self-Paced Online Video

• Self-paced Videos: 24 Hrs
• Exercises & Project Work: 48 Hrs
• A 360-degree learning approach that you can adapt to your learning style

1 Year Unlimited Access

You get 1 Year unlimited access to LMS where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket-based tracking system

Certification

Successfully complete your course and Tecklearn will provide you Machine Learning Certification.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Machine Learning concepts.

Learn at your Convenience

• Certification and Job Assistance
• Flexible Schedule

Reviews

P

Pradyumna P Umarji

Machine Learning

The course gives sufficient training required for Machine Learning in short time in right direction. Also, LMS and smart eBooks is very helpful. Off course, practical sessions are necessary for Exam, but the course make it easy to understand and memorize the concept of its contents by giving examples and Hands on training.... The course gives sufficient training required for Machine Learning in short time in right direction. Also, LMS and smart eBooks is very helpful. Off course, practical sessions are necessary for Exam, but the course make it easy to understand and memorize the concept of its contents by giving examples and Hands on training. Read More
L

Leelavathy

Machine Learning

Very good Hands-on Machine Learning Experience. It was helpful with recorded sessions and detailed course curriculum. Covered each and every topic with real time scenarios. Thanks to Tecklearn Team.... Very good Hands-on Machine Learning Experience. It was helpful with recorded sessions and detailed course curriculum. Covered each and every topic with real time scenarios. Thanks to Tecklearn Team. Read More
A

Ashok R

Machine Learning

First of all the good thing with Tecklearn having a wide variety of courses for the last advance technologies in reasonable prices. Also good contents, materials, assignments, Smart eBooks and good support.... First of all the good thing with Tecklearn having a wide variety of courses for the last advance technologies in reasonable prices. Also good contents, materials, assignments, Smart eBooks and good support. Read More
M

Manjunath M B

Machine Learning

I wanted to learn Machine Learning and I searched so far many institute and later I found Tecklearn. Its a good learning Experience. The content is very good and the explanation of subject is simply Exceptional.... I wanted to learn Machine Learning and I searched so far many institute and later I found Tecklearn. Its a good learning Experience. The content is very good and the explanation of subject is simply Exceptional. Read More
H

Harish Rama Chandran

Machine Learning

Brilliant content and delivery. Support team turnaround time is remarkable. Many Thanks. Looking forward for further courses in future.... Brilliant content and delivery. Support team turnaround time is remarkable. Many Thanks. Looking forward for further courses in future. Read More

Certification

This course on Machine Learning, which is one of the best Machine Learning Courses is designed by industry professionals that will help you get the best jobs in top MNCs. As part of this training you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast track your career effortlessly.

Tecklearn’s Machine Learning Certification will be awarded upon the completion of the course.

Projects

  • To put your knowledge on into action, you will be required to work on industry-based projects that discuss significant real-time use cases.
  • These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

FAQ Content


You will never miss a lecture at Tecklearn. Tecklearn provides recordings of each class so you can review them as needed before the next session.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

All the instructors at Tecklearn are practitioners from the Industry with minimum 10-12 years of relevant IT experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

Machine learning is nothing but an implementation of Artificial Intelligence that allows systems to simultaneously learn and improve from past experiences without the need of being explicitly programmed. It is a process of observing data patterns, collecting relevant information, and making effective decisions for a better future of any organization. Machine learning facilitates the analysis of huge quantities of data, usually delivering faster and accurate results to extract profitable benefits and opportunities.

The average machine learning salary, according to Indeed's research, is approximately $146,085 (an astounding 344% increase since 2015). The average machine learning engineer salary far outpaced other technology jobs on the list.

With online certification training you get the flexibility to learn on your own terms.
Major advantages are:
Access to Latest Course Curriculum
Connect with Instructors around the world
Real-life Projects & Case Studies
Lifetime Access & 24x7 support

The participants of our training should have:
• Fair understanding of Statistics and Mathematics basics
ENROLL NOW
  • 16,900.00 11,900.00
  • 365 Days
  • Course Certificate
57 STUDENTS ENROLLED

Contact Us

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Course Curriculum

Modules
Machine Learning Module -1 00:00:00
Machine Learning Module -2 00:00:00
Machine Learning Module -3 00:00:00
Machine Learning Module -4 00:00:00
Machine Learning Module -5 00:00:00
Machine Learning Module -6 00:00:00
Machine Learning Module -7 00:00:00
Machine Learning Module -8 00:00:00
Machine Learning Module -9 00:00:00
Machine Learning Module -10 00:00:00
Machine Learning Quiz 01:00:00

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