01 Mar
01Mar


Machine learning is one of the hottest trendings in tech industries today. Machine learning is very powerful to make prediction or recommendations based on huge amount of data sets. Machine learning has vast use cases for different domains either in the e-commerce business, finance, intelligence, sci-fi movies, marketing, real estate etc

Amazon, Flipkart or other e-commerce giants recommend books or other products based on your previous purchased. Netflix suggests you new movies based on your past watchlist.

What is Machine learning?

Machine learning is the field of computer science basically originates from artificial intelligence so that we can also say that machine learning is the subfield of artificial intelligence.

Machine learning involves in an adaptive mechanism that enables the computer to learn from experience, learn by examples and these learning capabilities can improve the performance of intelligence system over time.

Machine learning Step By Step:

  1. Understanding of Problem: In this process, we basically try to understand the client needs, What they want to achieve from their datasets. In this phase, we generally ask some questions like what you want to achieve from these datasets or what is your scientific goal?

  2. Data Pre-processing: In this phase, we generally import data and perform exploratory data analysis operations. In this phase basically, we transforming raw data into an understandable format.

  3. Model Implementing: In the previous phase, we got some pattern of data and also understood the problems type either classification or regression. We develop datasets and divide it into training and testing sets, fit it into our model, validate it. In this phase, we generally use different classifications or regressions algorithms like linear regression, logistic regression, support vector machine, etc.

  4. Results Improving: In this, we try to improve our results, we try to find the best model, we also combine some algorithm (this process is also known as Ensemble methods) to make robust results.

  5. Communicating & visualization of results: In this phase, we have been achieved our goal which decided in the first phase, now time talk with clients to determine the result of the project of success or failures.


Machine Learning (ML) one of the most lucrative skills set in the current IT world. It is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it.

Enroll yourself into best Machine Learning course with Machine Learning certified professionals.

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