A Demo on Machine Learning Training

The certificate course in machine learning online course from IgmGuru is one of the best machine learning courses available. It has been curated after consulting people from the industry and academia. Industry leaders who have delivered successful products and services to their clients have contributed to the course design. IgmGuru is very upbeat about the course as this makes learners industry ready and machine learning as a skill set is something which is much sought after in the market. In today’s world, ML has proved to be among the hottest and demanding technologies available.

IgmGuru offers one of the best machine learning courses in the market that covers all the skills required to become proficient in the ML domain. There will be a lot of business-world projects in which learners would be implemented to apply and enhance understanding. Hence, by leveraging IgmGuru’s machine learning training online, learners’ will be exposed to numerous high-paying opportunities.

There are a lot of companies hiring machine learning engineers/specialists. Notable among them are the IT companies like IBM, Accenture, Apple, Walmart, Google, Ola, Flipkart, and a lot more. Learners’ who would finally be acquiring the skill set in this certification course in machine learning would end up in the below-mentioned profiles

1. Machine learning engineer
2. Machine learning specialist
3. Machine learning research engineer
4. Data Scientist (at times)

Machine learning is a set of statistical techniques that could be built using any tool/platform or programing language targeting a specific business problem. The tool used is to express the techniques and statistical concepts of machine learning in a business area. The tool of our choice for this machine learning course is one of the most famous and easy to use a programming language which also finds a lot of preference in the industry owing to its ease of deployment and extensive community support. The tool is an open-source programming language, based on the concept of object-oriented programming language known as Python. Python is a programming language that could be used to do a lot of things, but learners will focus on the machine learning aspect of it in this best machine learning course.

Machine learning has been broadly classified into three categories – supervised, unsupervised, and reinforcement. Our focus of interest would be mostly into the Supervised and Unsupervised area.

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

The certificate course in machine learning focuses on the development of computer programs that use data to understand patterns and relationships on their own. The primary aim of this machine learning training online course is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

What are the Objectives of the Best Machine Learning Course

• Learners would be made familiar with the various types of machine learning techniques under each supervised and unsupervised learning methods in the certification course in machine learning.
• They would also have a very good idea about the usage of the techniques depending on the business problems.
• We will be specifically focussing on supervised techniques like classification and regression, unsupervised learning methods like clustering analysis, principal component analysis, and would be helping learners understand these concepts by practicing a lot of use cases.
• Each session ends with assignments and tasks that you need to solve based on the available dataset. Further, you will work on many industry-specific projects that will solidify your skills.

What are the Key Deliverables of Best Machine Learning Course

The certificate course in machine learning will mostly deal with the below things

1. Define Machine learning problem/objective
2. Data preparation for building the algorithm
3. Difference between supervised and unsupervised techniques
4. Understanding the usage of supervised and unsupervised learning techniques
5. Choosing the best algorithm for a given problem
6. Understanding the various accuracy measures
7. Tuning machine learning models
8. Machine learning model maintenance

Using Python as a preferred tool for learning and applying concepts of various machine learning algorithms, we will go through different types of Python libraries used for building types of machine learning models in this machine learning course. While we will also understand the basic structure of supervised and unsupervised learning techniques, we will also get to know about the various libraries available at each and every stage of the model building phase. We will get accustomed to the different libraries that we need to use during this phase of model building, checking the model’s accuracy, and validating the model as well.

Python offers an opportune playground for experimenting with Machine learning algorithms due to the readability and syntactical efficiency of the language. A Python framework is an interface or tool that allows developers to build ML models easily, without getting into the depth of the underlying algorithms. Python libraries are specific files containing pre-written code that can be imported into your codebase by using Python’s import feature. The top 10 Python packages for machine learning are matplotlib, natural language tool kit, scikit-learn, pandas, NumPy, scipy, seaborn, Keras, TensorFlow. We will go through the most important ones in the machine learning course.