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- 82% Clustering & Classification With Machine Learning In Python

Clustering & Classification With Machine Learning In Python

$17.99Track price

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8.2/10 (Our Score)
Product is rated as #223 in category Machine Learning

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your complete guide to both supervised & unsupervised learning using Python. This means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal..

By becoming proficient in unsupervised & supervised learning in Python, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I also just recently finished a PhD at Cambridge University.

I have several years of experience in analyzing real life data from different sources using data science techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of machine learning– clustering & classification.

Unlike other Python instructors, I dig deep into the machine learning features of Python and gives you a one–of–a–kind grounding in Python Data Science!

Instructor Details

Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler

Specification: Clustering & Classification With Machine Learning In Python

Duration

6 hours

Year

2021

Level

All

Certificate

Yes

Quizzes

No

23 reviews for Clustering & Classification With Machine Learning In Python

4.7 out of 5
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  1. Rimon Bazu

    Without boring and Fully Impressive Course. The instructor has made some tough concepts in machine learning easy to learn.

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  2. Jhial Kerolus

    Great explaining all the concepts like my mind. The instructor is very knowledgeable about Machine Learning, AI and Deep Learning.

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  3. Geba Choudhory

    Always appropriate if you want to well understand AI. I liked all the exercises especially building a machine learning web service

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  4. Keliva Destin

    Clear, in depth and an amazing introduction to crucial machine learning algorithms!

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  5. Zeniva Mirakkel

    I can find out some special tips. Thanks

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  6. Yam Kakon

    It was very useful course, especially on topics such as learning curve, validation curve and cross validation.

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  7. Geir Rosoy

    Many good techniques some require a background in statistics and a little knowledge of Python so I would not necessarily view it as a absolute beginners course. But, it shows a lot of different techniques with examples of how to set up the data set and interpret the result. I would give a 5 but some of the data examples were missing in the student package (or broken data links where you access data on the web) and you may have to make some slight changes to your code if you are on Python 3 (not much though). But, allover a good instruction on the topic. Addition: I moved the rating to a 5 as despite the few issues above, the course has been a tremendous help on several projects.

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  8. Anil Kumar Pandey

    Good course, knowledgeable and interesting.

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  9. Kiba Lovren

    It’s really hard to find professors that teach in a captivating way like she does!

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  10. Naga Chaitanya

    Yes

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  11. Mouni Ishaar

    Very practical

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  12. Sadia mumu

    I have found this course materials absolute wonderful! Some exceptional tips on machine learning and python makes this course fabulous!

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  13. Mustakim Tashfi

    Quality course. Learned a tons of important things of AI using python! Sessions are really impressive!

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  14. Afrida Sristy

    Machine learning using python is pretty exciting topic for me. The course outline is so great! All the lectures are excellent!

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  15. Sawom Tweety

    I am fully satisfied. Techniques are awesome. Practical application is more relevant! Overall great course for machine learning!

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  16. Remigius gius

    voice and screen share not captured well. it could have been better

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  17. Kailash Mehra

    Good explaination of various algorithms using examples.

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  18. Jessika Etoro

    Information was very well presented and excellent content.

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  19. Selvaraj Baskaran

    nice

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  20. Posey Parker

    strong course

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  21. Kaushal

    Informative

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  22. Brian Morphi

    Great information totally worth, I’ll Grabbe every course Minerva Has !!!

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  23. Reggie John

    Covers a lot of methods but it slow at the start. Nice intro to Python though

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    Clustering & Classification With Machine Learning In Python
    Clustering & Classification With Machine Learning In Python

    $17.99

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