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Vishal Kapur
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  • New Delhi
  • India
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Vishal Kapur's Discussions

Feature Selection >> On Labelled Data..

Started this discussion. Last reply by Piyush Agarwal Jan 29. 4 Replies

I am working on a data set that has 10 features, and my label ed output is the 'Weight of humans'.I want to find, out of 10 features, which are he 2 or 3 features due to which the 'Weight' varies..…Continue

Missing Value in DATA - Approaches

Started this discussion. Last reply by Vishal Kapur Nov 4, 2018. 2 Replies

Hello Guys,I am new to ML and I am starting with Exploratory Data Analysis, need help on good material on graphs, statistical methods to use when we first see data, different approach to fill missing…Continue

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Latest Activity

Vishal Kapur commented on Divya Singh's blog post Top 10 Artificial Intelligence Trends in 2019
"Don't forget Quantum Computer's and Computing is the fuel of AI.. Speed and accelerated performance of AI will only come from Quantum.. And we are near the era of Quantum Computers, just 3 years more we need to wait.."
Apr 7
Vishal Kapur commented on ajit jaokar's blog post Educating for AI – one of the most critical problems in AI
"Yes, each country should have a AI Education Roadmap and technical universities should for AI courses.. Like in India we have NPTEL, that gives training on AI and ML.."
Apr 7
Vishal Kapur liked ajit jaokar's blog post Educating for AI – one of the most critical problems in AI
Apr 7
Vishal Kapur liked ajit jaokar's blog post Educating for AI – one of the most critical problems in AI
Apr 7
Piyush Agarwal replied to Vishal Kapur's discussion Feature Selection >> On Labelled Data..
"Have you tried looking at a correlation in the variables? Maybe you could use a scatter plot matrix or a correlation matrix to visualize your data and see what variables are impacting your label output. Check out this article on visualizing your…"
Jan 29
Vishal Kapur replied to Vishal Kapur's discussion Feature Selection >> On Labelled Data..
"Thanks the above links are helpful, but here my case is a regression one, but here i don't want to predict anything, i want to know features that are impacting my label ed  output."
Jan 29
Piyush Agarwal replied to Vishal Kapur's discussion Feature Selection >> On Labelled Data..
"Depends on what algorithm you are using. Assuming this is a classification problem and you are using RandomForestClassifier from sklearn, you can simply use it feature_importances_ method to look at the a sorted list of the features and…"
Jan 29
Deivid Willyan Rodrigues Fabiano replied to Vishal Kapur's discussion Feature Selection >> On Labelled Data..
"Hi, I'm a new student in data science, I'm doing the process the following way. from sklearn.feature_selection import RFE from sklearn.linear_model import LogisticRegression modelo = LogisticRegression() rfe = RFE(modelo, 8) fit =…"
Jan 28
Vishal Kapur posted a discussion

Feature Selection >> On Labelled Data..

I am working on a data set that has 10 features, and my label ed output is the 'Weight of humans'.I want to find, out of 10 features, which are he 2 or 3 features due to which the 'Weight' varies.. What are these 2-3 features on which the weight varies...Please let me know, how i can find it out, using any ML technique or algorithm..See More
Jan 27
Vishal Kapur commented on Emmanuelle Rieuf's blog post 7 Visualizations You Should Learn in R
"I liked it.. Can you please share more such articles and links on missing data and imputation techniques..."
Dec 27, 2018
Vishal Kapur liked Emmanuelle Rieuf's blog post 7 Visualizations You Should Learn in R
Dec 27, 2018
Vishal Kapur liked Igor Bobriakov's blog post Comparison of top data science libraries for Python, R and Scala [Infographic]
Dec 27, 2018
Vishal Kapur's discussion was featured

Missing Value in DATA - Approaches

Hello Guys,I am new to ML and I am starting with Exploratory Data Analysis, need help on good material on graphs, statistical methods to use when we first see data, different approach to fill missing value in data.Any articles/video or books on    Exploratory Data Analysis, graphs and missing value in data would be helpful.See More
Nov 10, 2018
Shravan Kumar Koninti replied to Vishal Kapur's discussion Missing Value in DATA - Approaches
"Missing value in dataset can be handled by 4 types: 1) You can delete those records from dataset 2) You can do Mean/ Mode/ Median Imputation. 3) If you know modelling, then you can use prediction model 4) KNN Imputation - The missing values of…"
Nov 4, 2018
Vishal Kapur replied to Vishal Kapur's discussion Missing Value in DATA - Approaches
"Thanks Vincent, Any books or articles on basic and advance graphs we can create for data virtualisation??"
Nov 4, 2018
Vishal Kapur replied to Faaran Saleem's discussion Guidance for learning paths to be a data scientist
"Hello Denis, Do you have any good material, books suggestion for Exploratory Data Analysis and how to handle missing values.??"
Nov 4, 2018

Profile Information

Field of Expertise
Other
Professional Status
Technical
Years of Experience:
12
Industry:
Banking Technology
Your Job Title:
Software Developer
How did you find out about DataScienceCentral?
Google
Interests:
Contributing, Networking, Finding a new position

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