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- 82% Machine Learning Classification Bootcamp in Python

Machine Learning Classification Bootcamp in Python

$17.99Track price

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8.4/10 (Our Score)
Product is rated as #164 in category Machine Learning

Are you ready to master Machine Learning techniques and Kick–off your career as a Data Scientist?!

You came to the right place!

Machine Learning skill is one of the top skills to acquire in 2019 with an average salary of over $114,000 in the United States according to PayScale! The total number of ML jobs over the past two years has grown around 600 percent and expected to grow even more by 2020.

This course provides students with knowledge, hands–on experience of state–of–the–art machine learning classification techniques such as

Logistic Regression

Decision Trees

Random Forest

Naive Bayes

Support Vector Machines (SVM)

In this course, we are going to provide students with knowledge of key aspects of state–of–the–art classification techniques. We are going to build 10 projects from scratch using real world dataset, here’s a sample of the projects we will be working on:

Build an e–mail spam classifier.

Perform sentiment analysis and analyze customer reviews for Amazon Alexa products.

Predict the survival rates of the titanic based on the passenger features.

Predict customer behavior towards targeted marketing ads on Facebook.

Predicting bank client’s eligibility to retire given their features such as age and 401K savings.

Predict cancer and Kyphosis diseases.

Detect fraud in credit card transactions.

Instructor Details

Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 50,000+ students globally. He has over 15 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC 17) in Chicago, IL, USA. * McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.

Specification: Machine Learning Classification Bootcamp in Python

Duration

11.5 hours

Year

2022

Level

Intermediate

Certificate

Yes

Quizzes

No

18 reviews for Machine Learning Classification Bootcamp in Python

4.3 out of 5
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  1. Steven Gonzalez

    This course is a good beginners course, but not idea for me as I’m an intermediate user.

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  2. Aman Singh

    Nice course with detailed explanation looking forward for other courses

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  3. Ilya Gotfryd

    Key concepts are well explained and only the essential amount of detail is given to move forward.

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  4. Xutao

    80% of each section is not needed.

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  5. Aayan Malhotra

    Great Course to Begin with but you have to learn much more before thinking to land for a job in this field of machine learning

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  6. Larisa Ovsyanitskaya

    Thank you very much! All materials are understandable. I recommend this course to everybody.

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  7. Pattara Tepnu

    Very good to explain about Classification Model in Python

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  8. Ananya

    I found the course quite informative Ryan has explained the concepts in a very lucid , easy to grasp manner. Will appreciate if a section on Gain Chart Lift Chart is added along with ROC Curve (Concordant Discordant pairs)

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  9. James Heine

    So far, yes, it is a good match and delivers what I’m looking for guided examples and workflows for each type of classification learning.

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  10. Karan Kaul

    For some students complaining about instructor not teaching all the concepts and reasoning behind certain actions : This course isn’t the complete intro to ML or fundamentals of Data Science. (From my POV) This course was probably made for students who already had basic understanding of data science concepts such as visualization and already had practiced on some other algorithms like regression and clustering . I already went through other D.S courses (365 Data Science) which gave me a pretty good understanding of concepts such as visualization, distributions and data pre processing . And i came to this course after those because i wanted to strengthen my knowledge on classification algorithms. I think it was pretty clear from the name of the course Machine Learning Classification bootcamp that this course wont focus on every single detail about DS. Overall the course is good and is exactly what i wanted and expected.

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  11. Mohammad Asif Nawaz

    Excellent instruction. I tried many instructors to refresh my concepts and learn new things, not that other instructors were bad, some of them were very good too, but this course structured with the Questions and Solutions codes, to the point material with targeted and simple approach appealed to my learning style, instruction pace was excellent. This course motivated me to enroll in other courses by the same instructor. Thanks.

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  12. Partha Mishra

    Excellent course , covers all the relevant Classification models

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  13. Devanshu Rai

    Awesome

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  14. Gary Morford

    Getting ‘my feet wet’ stage.I know there is lots I don’t understand yet, but I am encouraged my the instructor. Definitely he is college level instructor (I have a degree in a different field). So, am I scared? Somewhat! Am I encouraged? YES!Maybe I will say more later.

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  15. Jorge Manuel P rez Aguilar

    I’m very glad of having completed this course. It focuses on the main idea about the different concepts related to each of the classification’s strategies and, above all, on practising and evaluating them.

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  16. Donat Berkes

    plagiarism

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  17. Gabriel Kelly

    The course is clear, concise, informative and easy to follow. I recently completed Dr. Ahmed’s course on regression analysis, and it was also excellent. Highly recommend.

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  18. Daniel Socoloff

    Very well presented!

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    Machine Learning Classification Bootcamp in Python
    Machine Learning Classification Bootcamp in Python

    $17.99

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