Machine Learning – Recommendation Systems in Python

• Analytics professionals, modellers, big data professionals who haven’t had exposure to machine learning
• Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Tech executives and investors who are interested in big data, machine learning or natural language processing
• MBA graduates or business professionals who are looking to move to a heavily quantitative role

This course consists of the following modules:

• Module 01: Would You Recommend to a Friend?
• Module 02: Recommendation Systems in Python

From the day you purchase the course, you will have 12 months access to the online study platform. As the course is self-paced you can decide how fast or slow the training goes, and are able to complete the course in stages, revisiting the training at any time.

At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed the course.

Successful candidates will be awarded a certificate in Machine Learning – Recommendation Systems in Python.

Learners must be age 16 or over and should have a basic understanding of the English Language, numeracy, literacy, and ICT.

This intensive course in Python Training will help you to gain a stronger hold on the essential Machine Learning component. The certification will demonstrate your skills in Python, and make you a desirable candidate on the market. You can demand for the specific job role, higher pay or even a promotion. You can even study more courses related to this field. A career with bright prospects await you with the completion of this course. According to www.payscale.uk, some of the key job positions along with the average UK salary per annum you can go for after completing this course will be as follows.

• Machinist - £18,311 per annum
• Quantitative Analyst - £54,517 per annum
• Research Scientist - £30,802 per annum
• Market Researcher - £23,707 per annum
• Risk Analyst - £33,665 per annum
• Quantitative Analyst - £54,517 per annum

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum

Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum

PLEASE NOTE: We do not provide any software with this course.

[vc_row][vc_column][vc_cta h2="Still not convinced?" add_button="left" btn_title="Download Brochure" btn_color="green" btn_i_icon_fontawesome="fa fa-file-pdf-o" btn_add_icon="true" btn_link="url:https%3A%2F%2Fwww.study365.co.uk%2Fwp-content%2Fuploads%2F2018%2F08%2F4.-Machine-Learning-–-Recommendation-Systems-in-Python.pdf||target:%20_blank|" btn_custom_onclick="true" css=".vc_custom_1475836716759{background-color: #ffffff !important;}"]Download our course brochure & learn more about this course.[/vc_cta][/vc_column][/vc_row]