ML | SEP 29 - OCT 27 | AAYUSHI

Discussion in 'Big Data and Analytics' started by Nishant Singh_3, Sep 29, 2018.

  1. Nishant Singh_3

    Nishant Singh_3 Well-Known Member
    Simplilearn Support

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    Hi Learner,

    This thread is blocked for you to discuss the query and concepts related to Machine Learning Advanced Certification course.

    Happy Learning !!

    Regards,
    Team Simplilearn
     
    #1
  2. Sahil Puri

    Sahil Puri New Member

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    Hello Ayushi ,

    During the progress of the course , Can you please suggest various research areas/topics related to those topis in Data science/ML !
    I mean the topics in which sufficient research can be done for M.tech Thesis as well as papers/journal publishment !

    Thanks in advance for the help :)
     
    #2
  3. Aayushi_6

    Aayushi_6 Well-Known Member

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    Hi Sahil,

    Few research topics which I can think of right now are as follows:

    NLP Topics
    Building NER Taggers
    Intent Entity Extraction
    Approaches for Plagiarism Detection
    Chatbots
    QA Systems for different domains

    Generic Topics
    Building Recommendation Systems for different domains
    Social Media Analytics
    Fraud Detection for different domains

    Hope it helps !
     
    #3
  4. _40447

    _40447 Member

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    In Iris dataset how we can check those " iris-setosa" ?
     

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    #4
  5. Nishant Singh_3

    Nishant Singh_3 Well-Known Member
    Simplilearn Support

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    Hi Learners,

    It is not recommended for you to proceed with Django for now as you all still need to cover all the basic python concepts.

    Also, if your account has Data Scientist Masters or Artificial Intelligence Masters then you need to only focus on Python Basics course among the complementary elective courses as Django comes under Web Development (with Python) but since it is related to Python its provided to you in the complimentary course called All-in-One Python Development Suite. It will take a lot of effort to grasp concepts in either of the scenarios.

    Choose the Learning path according to the goals you wish to pursue in the near future and invest your time wisely on the technologies that will get you there. In order to finish your masters, I recommend you to complete the courses in the following order :

    I. For Data Scientist Masters :-

    a.) Very Important in Initial Stage of Data Science:
    1. Statics Essentials for Data Science
    2. Business Analytics with Excel
    3. Python Basics

    b.) Intermediate (can start with anyone but recommended to follow the order given):
    4. Certified SAS Base Programmer
    5. Data Science with SAS
    6. Data Science with R
    7. Data Science with Python
    8. Machine Learning

    c.) Last courses to cover:
    9. Introduction to Big Data and Hadoop
    10. Big Data Hadoop and Spark Developers
    11. Core Java
    12. Apache Kafka

    d.) Others:
    13. Power Bi


    II. For Artificial Intelligence Masters :-

    a.) Very Important in Initial Stage of Data Science:
    1. Statics Essentials for Data Science
    2. Business Analytics with Excel
    3. Python Basics

    b.) Intermediate (can start with anyone but recommended to follow the order given):
    4. Data Science with R
    5. Data Science with Python
    6. Machine Learning

    c.) Last courses to cover:
    7. Deep Learning with TensorFlow

    If you follow this path then you will be able to complete the certification within the validity period of your course and then you can try finishing the All-in-One Python Development Suite (if you want) as its topics are not required to complete any of the above-mentioned courses and it is a complementary course given to you.

    I hope that this will help you.

    Regards,
    Team Simplilearn
     
    #5
  6. _40447

    _40447 Member

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    why i m getting this error in train.describe()
     

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    #6
  7. K Manoj

    K Manoj Moderator
    Staff Member Simplilearn Support

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    Please ignore this warning.
    These are caused by NaN values in a DataFrame
     
    #7
    Aayushi_6 likes this.
  8. Aayushi_6

    Aayushi_6 Well-Known Member

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    df.loc[df['iris'] == "Iris-setosa"]
    This should work.
    Please try.
     
    #8
  9. _40447

    _40447 Member

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    getting error using .cut(train[])

    train['Item_Visibility_bins'] = pd.cut(train['Item_Visibility'],[0.000,0.065,0.13,0.2], labels=['Low Viz','Viz','High Viz'])
     

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    #9
  10. Aayushi_6

    Aayushi_6 Well-Known Member

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    Hi,

    This is just a warning. No error.
     
    #10

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