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What are your favourite R hacks and why?

@vsagar19 wrote: What are your favourite R hacks on daily use? Posts: 1 Participants: 1 Read full topic

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ARIMA model in Python

@clyton91 wrote: Hi, I would like some guidance with using ARIMA models (statsmodel library) in Python I have a time series which is not stationary but can be considered stationary after taking the...

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How to do condition based sells forecasting

@sushilsingh8853 wrote: Can any one tell me how to do conditional forecasting. Means daily sells is depend on different-2 factor. Like i forecast any cinema food & beverage sells then FNB sell is...

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Can i start career in data science after 6 yrs of experience as clinical sas...

@Tushard wrote: I have 6 years experience in clinical SAS programming. I have good knowledge of statistics . Also i am familiar with R and Python. So at this stage of career , can i pursue career in...

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Continuous variable selection & Splitting in Regression Tree

@pkittali wrote: In a regression tree, how is a root determined out of a bunch of continuous predictors? What logic is used to split the continuous & categorical variables in a regression tree?...

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Need Help in understanding a code snippet from Titanic Passenger Survival...

@mohitvarma wrote: Hello, I have picked uo the following code snippet from titanic passenger survival project on Kaggle I would like to know the role of “IsAlone” feature/field in the following...

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Help: Credit approval model in python

@tsatish14 wrote: I was given a task as part of interview for a Data Analyst, i really appreciate your thoughts. I never worked as a Data Analyst before, just started to learn. The dataset...

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Customer Segmentation approach, your thoughts please

@tsatish14 wrote: I was given a task as part of interview for a Data Analyst, i really appreciate your thoughts. I never worked as a Data Analyst before, just started to learn The dataset...

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Transactional patterns

@adijohar wrote: Hi fellows Is there any technique/algorithm which may be useful for finding transactional patterns in the banking sector. The requirement is to identify any kind of transactional...

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How to move observation one columns to another column?

@premsheth wrote: Hi, I have directory data file and just trying to do descriptive analysis. Now I have two column name city and zipcode. Some city name saved in to zipcode columns. now I want to move...

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Masters degree selection

@Shubhangiagarwal76 wrote: Hi Im in the final year of Bsc(Maths, Physics, Computer) from Delhi University. I have been taught languages like R, Python, Java etc. Which master degree should I go for to...

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Time series analysis with python

@ssonia wrote: data = pd.read_csv(‘AirPassengers.csv’, parse_dates=‘Month’, index_col=‘Month’,date_parser=dateparse) Reading Time series analysis with python article by Analytics vidhya, i’m getting...

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Imbalanced Data Sets - SMOTE, "Balanced" etc

@Nyd3r wrote: Please help with understanding … 1- in logistic regression when applying python sklearn option “balanced” (link below), does this option automatically weight the different classes to...

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Apriori and FP-Growth Algorithms

@kgrahim99 wrote: hi guys could you please help me to find Frequent item sets for the following transactions using (Apriori and FP-Growth Algorithms). Use minimum support = 20%. DATA SET : [Album]...

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Source of Loan Prediction Data

@vinit28 wrote: Hi, Question out of curiosity, what is the source of the data? Posts: 1 Participants: 1 Read full topic

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Best platform for Big data analytics for beginners - AWS vs Azure vs Google...

@msubash26 wrote: Hello everyone, I have 12+ experience in Java enterprise programming and a beginner in Big data analytics. Currently started learning Python and going through blogs related to...

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Need some assistance with Data Wrangling in R

@amit.cs03 wrote: I have two columns in a CSV file, “Device” and “IP” (both are headers). For each row in the “Device” column, there are multiple IPs in the “IP” column but they are embedded in the...

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How to handle data that is unevenly distributed

@yaswanth912 wrote: If I have a dataset where the target variable has 2 categories(1,0) and their distribution is imbalanced as in say they are distributed at 99:1. How to build a model on the data or...

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Clustering of Large volume of string data

@kumarsaurabh2488 wrote: Hi Experts I need your help with below case study. Case-study: The following dataset contains process start and stop events collected from individual Windows-based desktop...

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Dealing with negative values

@jayad wrote: Hi I am trying to predict the electricity usage of heating and cooling appliances in a household based on internal and external temperatures. my data set includes negative values. how i...

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