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

20 Days ₹ 60000 Start from 12-Oct-2020 Course timing: 7PM - 11PM

Course Summary

The Machine Learning : Hands-On Python & R In Data Science Training Course aims to provide you the insight  on the Data Preprocessing, Clustering: K-Means, Hierarchical Clustering, Reinforcement Learning: Upper Confidence Bound, Thompson Sampling, Dimensionality Reduction: PCA, LDA, Kernel PCA, Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost, Reinforcement Learning: Upper Confidence Bound, Thompson Sampling, Deep Learning: Artificial Neural Networks, Convolutional Neural Networks, etc. 

After completion of the course from SkillXS, you will understand Processing, Deep Learning, Dimensionality Reduction, and Model Selection & Boosting which will provide your career a better growth as Machine learning is already flourishing in the market due to rapid industry needs .

Pre-requisites

Only basic mathematics is required.

Outcome

After completion of this training, you will learn.

How to make an accurate predictions
Learn how to deal with the advanced techniques like Dimensionality Reduction
How to Develop an understanding on the issues of specific topics like Reinforcement Learning, NLP and Deep Learning and how to handle it
How to Develop understanding of many of the Machine Learning models
How to Develop understanding on all the essentials such as: Data Preprocessing, Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, Dimensionality Reduction, and Model Selection & Boosting.

Outline

  • Machine Learning : Hands-On Python & R In Data Science Complete interactive and Hands on learning experience .
  • Fee

    Total fee

    ₹ 60000 /- (inclusive of all.)

    Book your seat

    Please enter your full name.
    Please valid email.
    Please enter your contact number.
    Please enter contact number.
    Please select course date.
    Please select course date.
    Invalid coupon code

    Get in touch

    Thank you!
    Your Enquiry submitted successfully
    Please enter your full name.
    Please enter your email.
    Please enter your contact number.
    Please enter your contact number.
    Please enter your message.