Online Machine Leaning Course in Delhi

The machine learning we study about such type of machine which takes the raw data from their environment and learn from these data and apply this information in future need. Machine learning is a part of artificial intelligence that uses delay life data to learn themselves. Machine learning uses the techniques of pattern recognition. The machine observes the thing in a patterned manner and tries to understand these patterns according to their learning techniques. The machine learns and collects the knowledge without using any kind of algorithms. In the early days, machine learning is a very good field for a career opportunity. nowadays many organization works on machine learning programs and hire the employees for it. For machine learning and artificial intelligence, the most used languages are R language and python. Machine learning also used the concept of IoT.



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October 29, 2022


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Who this Certified Information Systems Auditor (CISA) Training Course is for :

What will you learn in Machine Learning Course in Delhi

Why Choose Machine Learning Course Training

Mchine Learning is stretched and penetrated in the daily routine of us that even we don’t notice, the career in machine learning have the high and better opportunity as the world needs it and is getting higher in demand because the human being is getting dependent on the machines as technologies growing day per day, and that’s the reason why students who are just worrying about their career and have any interest in Artificial Intelligence going for machine learning course as it increases their package as well as get their market value higher. Craw Cyber Security provides this course training and certifications as affordable and cheap as compare to other institutes domestically or globally.

What is NEW in Machine Learning Course?

➔  Dummy Variables & One-Hot Encoding.
➔  Know which Machine Learning model to choose for each type of problem.
➔  Linear regression predicts a real-valued output based on an input value.
➔  How Multiple Linear Regression Works.
➔  Basic Neural Networks & Deep Learning Algorithms

Content for Machine Learning Course


MODULE 01 :Introduction to Machine Learning​

MODULE 02 : Linear Regression​

MODULE 03 : Multiple Linear Regression

MODULE 04 : Gradient Descent

MODULE 05 : Saving Model to a File

MODULE 06 : Dummy Variables & One-Hot Encoding

MODULE 07 : Train-Test-Split

MODULE 08 : Logistic Regression

MODULE 09 : Multiple Logistic Regression

MODULE 10 : Decision Tree

MODULE 11 : Random Forest

MODULE 12 : K-fold Cross Validation


MODULE 14 : K-Means Clustering

MODULE 15 : Naïve Bias


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Frequently Asked Questions

Learn About Online Machine Learning Course in Delhi

Machine learning is an area of artificial intelligence and computer science that covers topics such supervised learning and unsupervised learning and includes the development of software and algorithms that can make predictions based on data.

Machine learning is all about making computers perform intelligent tasks without explicitly coding them to do so. This is achieved by training the computer with lots of data. Machine learning can detect whether a mail is spam, recognize handwritten digits, detect fraud in transactions, and more.

machine learning remains a relatively 'hard' problem. There is no doubt the science of advancing machine learning algorithms through research is difficult. It requires creativity, experimentation and tenacity. The difficulty is that machine learning is a fundamentally hard debugging problem.

we have covered some of the the most important machine learning algorithms for data science: 5 supervised learning techniques- Linear Regression, Logistic Regression, CART, Naïve Bayes, KNN. 3 unsupervised learning techniques- Apriori, K-means, PCA

On one hand, data science focuses on data visualization and a better presentation, whereas machine learning focuses more on the learning algorithms and learning from real-time data and experience

1) Naïve Bayes Classifier Algorithm
2) K Means Clustering Algorithm
3) Support Vector Machine Algorithm
4) Apriori Algorithm
5) Linear Regression Algorithm
6) Logistic Regression Algorithm



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Contact us : +91 951 380 5401  |  011-4039 4315

Join Online Machine Learning Course


Machine Learning Course

Instructor Led Training

Machine Learning Course

Material Includes

  • Books
  • Toolkit
  • Videos
  • Softwares

Target Audience

  • Employee
  • Business Analysis
  • Students