Supervised Learning in Machine Learning

4.7

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LearnVern offers you the Supervised Machine Learning using Python course in Hindi to make learning easier. It is a sub-course provided with a Machine Learning course at LearnVern. Learn Supervised Machine Learning at the pace of your choice. You may revisit the tutorial repeatedly until you attain perfection. It is available on iOS and Android devices to allow access from anywhere. Start learning Supervised Machine Learning using Python to answer all Machine Learning interview questions more confidently. It is absolutely free of cost and promotes flexible learning!

Cost

FREE

Language

हिन्दी

Certification Partner
( Optional )

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Services Icon 1 11+ hours of on-demand video
Services Icon 2 58 articles
Services Icon 3 Full lifetime access
Services Icon 4 22 downloadable resources
Services Icon 5 5 exercises
Services Icon 6 Access on mobile and TV

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Course Curriculum

Assignment of Machine Learning Paradigms

3m 24s

Quiz : Machine Learning Paradigms

10m

Overview

Supervised Machine Learning Using Python in Hindi

Machine Learning can be better learned with sub courses like Supervised Machine Learning using Python. This course equips you with the knowledge required for making various functionality-enriched applications. Upon completion, you will be comfortable processing data sets like IPL team, Customer loan Weather, Facebook post, etc. The Supervised Machine Learning using Python course is the need of the hour as all companies need to work on predictive modelling to forecast demand and make related decisions with confidence.

LearnVern has designed Supervised Machine Learning using Python to promote practical learning. The course is designed in a practical set-up where the learners get firsthand knowledge of how to use Supervised Machine Learning with Python professionally. The main topics covered are data wrangling, regression, machine learning paradigms, etc.

What Are the Major Job Roles Related to Supervised Machine Learning and Salary Data

Machine Learning has become an important skill based on which candidates maximise their chances of bagging better jobs. Only development is not sufficient, learners need to be conversant with research tools too. Supervised Machine Learning using Python course makes candidates eligible for high-paying jobs, such as:

  • Machine Learning Engineer: up to 8.5 lakhs
  • Data Scientist: up to 9 lakhs
  • Computational Linguist: up to 12 lakhs
  • Machine Learning Designer: up to 7 lakhs
  • Software Developer: up to 15 lakhs

Detail of the Free Supervised Machine Learning Using Python Course in Hindi 

LearnVern offers deep insight into how to use Machine Learning for application building through Supervised Machine Learning. This course comprises several environmental set-ups which you may find in industrial settings. With first-hand knowledge of Supervised Machine Learning methods, you can make better use of the information and predict outcomes with added clarity. How to use Supervised Machine Learning is covered through a video tutorial that explains topics like:

  • Data Wrangling
  • Regression Methods
  • Decision-Trees
  • Machine Learning Paradigms
  • Naïve Bayes Classifier, etc.

Who Should Be Taking the LearnVern Supervised Machine Learning Using Python?

LearnVern Supervised Machine Learning using Python can open newer ways of stabilising careers and creating new opportunities to increase earnings. This course is ideal for the aspirants who want to work as:

  • Data Scientists
  • Machine Learning Programmers
  • Research Analysts
  • Statisticians, etc.

If you have a deep interest in any fields related to product development, customer experience creation or sales prediction, etc., you can benefit from this for Machine Learning Learners.

Why Is the Supervised Machine Learning Using Python at LearnVern More Industry-Relevant?

The LearnVern Supervised Machine Learning using Python walks the learners through various practical aspects of applying the Machine Learning principles. Trainers explain all concepts in crisp and easy language to develop an understanding of the environmental setups needed for Machine Learning applications. All steps involved in using Machine Learning, such as data pre-processing, environmental setup followed by an application-based demonstration, offers a complete working knowledge of the concept. All these learnings are suitable for working independently as a data scientist or product researcher, which are in high demand in today's industries.

Next Steps to Learning Supervised Machine Learning Using Python

Supervised Machine Learning using Python tutorial enables smooth career transition from a mere programmer to a value-added Software Developer. Thus, you can become the first choice of recruiters with Supervised Machine Learning skills added to your qualification. Moreover, not only in the job search, but the students of Supervised Machine Learning using Python can also do other courses, such as:

  • Complete Machine Learning
  • Unsupervised Machine Learning with Python
  • Reinforcement Learning with Python
  • Regression in Machine Learning, etc.

These courses are also available at LearnVern for free and can help you make a promising career in Machine Learning.

Why LearnVern for Supervised Machine Learning Using Python

LearnVern hires the best trainers with industrial experience to train the students in time-relevant skills. This e-learning platform is fully flexible, absolutely free of cost and does not demand students to leave their current jobs. Hence, you can continue earning while adding new skills to your strengths.

LearnVern encourages learning on the go by providing courses for iOS and Android devices. The device-friendly courses include self-paced tutorials. A discussion board is also provided where the students can connect with peers to ask questions and clear doubts. 

LearnVern is a unique e-learning platform designed while keeping the Hindi medium students in mind. The courses available here, including the Supervised Machine Learning Using Python, are explained in simple Hindi language to overcome all sorts of barriers to learning.

On completing the courses at LearnVern, the students become eligible for the National Skill Development Certificate that helps immensely in jobs and to work as an independent service provider. LearnVern’s courses are designed both for self-learning and to train for the jobs.

Thus, you can clear exams and interviews and also justify your candidature for promotions with skills learned through LearnVern.

Machine Learning Developer, Machine Learning Engineer, Machine Learning Scientist, etc., are some job roles one can take on completing Supervised Machine Learning Using Python. For this, the students require basic math, statistics, and programming knowledge. Also, you need a mobile device or computer with an internet connection to do the course independently.

LearnVern has helped more than 80,000 students develop expertise in Supervised Machine Learning using Python and other industry-relevant courses. It helps by offering:

  • Courses that make candidates job-ready
  • Community learning support using discussion boards
  • Courses designed in Hindi for easier understanding
  • Free of cost courses to overcome financial barriers
  • The National Skill Development Certificate helps gain confidence and credibility.

FAQs

Supervised Machine Learning using Python course from LearnVern is suitable for the candidates interested in enriching knowledge in Machine Learning. Supervised Machine Learning course is suitable for product research and development experts, data scientists, programmers, user experience creation managers, product planning specialists, etc.

Supervised Machine Learning offers more practical skills by demonstrating various processes and environmental set-ups which developers employ in their jobs. You can learn how to process data, draw regression models and use predictive modelling to make predictions related to sales, demand, revenue, etc.

In addition to the basics like why Machine Learning, importance and uses, etc. Supervised Machine Learning offers deeper insight into how Machine Learning is implemented professionally. The course equips candidates with practical knowledge of applying regression models, concept handling, missing data handling, data analysis, machine learning paradigms, etc. It helps make the best use of Supervised Machine Learning in professional setups.

Making learning easier by melting all barriers is the working principle of LearnVern. That is why it provides courses which candidates can do the way they want. They can adjust the pace and decide the time to access the course as per their schedule. So, they aren't required to leave their jobs to add more skills to their portfolio. The candidates can access the courses on their mobile devices. Thousands of students have downloaded the LearnVern application and are doing various courses to improve their learning curves.

First of all, it is a course that is explained in Hindi. So, language is never a problem for students trying to learn Supervised Machine Learning using Python. Secondly, this course is available for free. Also, you will be awarded the National Skill Development Certificate that is approved by the Government of India and helps you in jobs and establishing independent businesses.

Since it is available as a subcourse, your interest in Machine Learning can help you gain lots of benefits from Supervised Machine Learning. You should know Python programming and interest in Data Science to do this course. Also, a mobile device or a computer with a stable internet connection is required to access the video tutorial.

Businesses follow a proactive approach to ensure that there are no downtimes and machine failures. Also, they need to stay prepared for demand fluctuations or plausible threats. They apply Supervised Machine Learning for spam detection, signature recognition, weather forecasting, customer discovery, price predictions in the stock market, etc. Thus, Supervised Machine Learning helps businesses stay prepared for demand and user behaviour changes and to create firewalls against fraudulent activities.

Using Supervised Machine Learning using Python, the learners can create predictive models and also learn to use various applications that all modern businesses employ. On completion, the learners may acquire knowledge of performing predictions on labelled sets, making recommendation engines, speech and voice recognition, etc.

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