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Machine Learning A-Z: Hands-On Python & R In Data Science

Machine Learning A-Z: Hands-On Python & R In Data Science

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₹ 12,800

Course Highlights

  • Compatible on Mobile and TV

  • Earn a Cerificate on successful completion

  • Get Full Lifetime Access

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Anyone interested in Machine Learning.

  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.

  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.

  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.

  • Any students in college who want to start a career in Data Science.

  • Any data analysts who want to level up in Machine Learning.

  • Any people who are not satisfied with their job and who want to become a Data Scientist.

  • Any people who want to create added value to their business by using powerful Machine Learning tools.

What are the course deliverables ?
  • Master Machine Learning on Python & R

  • Have a great intuition of many Machine Learning models

  • Make accurate predictions

  • Make powerful analysis

  • Make robust Machine Learning models

  • Create strong added value to your business

  • Use Machine Learning for personal purpose

  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning

  • Handle advanced techniques like Dimensionality Reduction

  • Know which Machine Learning model to choose for each type of problem

  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

More about this course
  • Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:Part 1 - Data PreprocessingPart 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest RegressionPart 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest ClassificationPart 4 - Clustering: K-Means, Hierarchical ClusteringPart 5 - Association Rule Learning: Apriori, EclatPart 6 - Reinforcement Learning: Upper Confidence Bound, Thompson SamplingPart 7 - Natural Language Processing: Bag-of-words model and algorithms for NLPPart 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural NetworksPart 9 - Dimensionality Reduction: PCA, LDA, Kernel PCAPart 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

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Frequently Asked Questions

How can I take this course?
This course is delivered by an instructor through online videos and other documents only. You will be redirected to our partner site for making the payment and then accessing this course. You do not have to go to any classroom in any place for taking this course. You need an internet connection and a computer/laptop/mobile/tablet only.
Is there a specific time within which I should complete my courses?
Courses do not expire, and therefore, there is no time frame to complete your courses. Once you purchase this course, you can view it as many times as you want. You can do the course as fast or slow as you want. You can also view it from any machine in the world, whenever you want - forever.
Do I get a certificate on taking this course?
On completing the course, you will get a course completion certificate from Udemy.
Do I get a refund in case I do not like this course?
We have 7 days exchange policy. Please send email to services@naukri.com in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
I have some other question. Where can I get help?
Please send email to e-learning@naukri.com or call our toll-free number 1800-103-4702.
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