Final Step to Missing Value imputation in R?
@Pranov_Mishra wrote: Hi All, In my attempt to treat missing values, i referred to an older AV article, " Tutorial on 5 Powerful R Packages used for imputing missing values". The article is great and...
View ArticleXGBoost Algorithm predicting too high or too low probablity
@Sohamc wrote: I have run xgboost with objective function binary logistic. After that I have ranked the data. The first 10 percent in Test data is covering 85% events. The overall data had 3% events...
View ArticleSolve a Mathematics puzzle
@sreenath.rc wrote: sjdklasjfihksnvkds Posts: 1 Participants: 1 Read full topic
View ArticleSolve a Probability puzzle
@sreenath.rc wrote: khfkd jbj Posts: 1 Participants: 1 Read full topic
View ArticleVariable Selection before or after cross validation python
@psnh wrote: I have a high dimensional dataset for classification - 1500 features and 45000 data point. My initial approach for modeling was: Divide the dataset in training and testing Perform...
View ArticleBegginner's Guide on Web Scrapping in R
@jamendoza wrote: Hi, I’m going through the steps in the document " Beginner’s Guide on Web Scraping in R (using rvest) with hands-on example" Here Stuck on step 4. my rank_data_html is an empty list,...
View ArticleDate variables in prediction
@raviteja1993 wrote: How to use date variables in prediction. Posts: 1 Participants: 1 Read full topic
View ArticleImproving Specificity or Sensitivity in linear discriminant analysis
@Pranov_Mishra wrote: Is there a way to improve the specificity/sensitivity for a linear discriminant analysis like we do in a logistic model by changing the threshold of the classification. I am...
View ArticleIdeal sample size for Statistical Hypothesis Tests
@nitzvision wrote: Hi, what’s the ideal sample size to use for Statistical Hypothesis tests in python. For Normality tests like Shapiro Wilk, D’Agostino and Anderson-Darling, the p value and test...
View ArticleTIme delay neural netwroks
@iam_ai wrote: Hi,currently I am working on Automatic Speech Recognition systems done via HMM,GMM,LSTM and TDNN But I’m unable to find ample material or tutorials on Time Delay Neural Networks.It will...
View ArticleLow feature importance and weak models [Python]
@emil48 wrote: Hello everyone, I have been struggling with predicting 2 classes in a particular data set that i have. I am using python for that So far i have tried linear and non linear models. For...
View ArticleCalculating just a single row of dissimilarity/distance matrix
@aeren wrote: I have a data-frame with 30k rows and 10 features. I would like to calculate distance matrix like below; gower_dist <- daisy(data-frame, metric = “gower”), This function returns whole...
View ArticleIntroducing non-linear transformations of Independent variables into a...
@Pranov_Mishra wrote: Hi I built a Logistic Model which has an accuracy of around 87% but a sensitivity of 37%. I want to improve both the above statistics. Is there a way to introduce no-linear...
View ArticleGradientDescentOptimizer
@pdasml wrote: I have write a machine learning program using tensorflow. where i use error function as mean square error and run the network using gradientdecentoptimizer to minimize error with...
View ArticleError when xgboost result applied on test set
@sandoz wrote: After running xgboost on the train set, I apply it on the test set and get this error: xgbpred1 <- predict (xgb1,dtest) Error in predict.xgb.Booster(xgb1, dtest) : Feature names...
View ArticleOptimize the Products Price for an Online Vendor
@Nik007 wrote: After making the modifications in the price data by -10% and +20%, my total profit is coming around $256.1 instead of $267. My total profit is coming around $5056. I multiplied each...
View ArticleLearning Data Science Online
@devi7 wrote: Hello friends, Can some one share your views regarding online datascience training? Thanks in advance Posts: 1 Participants: 1 Read full topic
View ArticleUsing Res-Net 101 Caffe model for Face Detection with Python
@uthpala wrote: I am new to machine learning and I am trying to detect faces in a video stream using the code in this blog post. I am using a pre-trained ResNet 101 caffemodel, instead of the ResNet...
View ArticleExample of XGBoost using Julia on the Wisconsin Breast Cancer Data
@michael53 wrote: Hi Vidhya Community, I’ve been writing a series on using Julia for machine learning problems. I’ve covered an intro to Julia installation, understanding data frames, using...
View ArticleMachine learning
@sandeep886 wrote: Please suggest me a Machine Learning project for my Masters in Embedded system stream. At least need some base paper to study. Posts: 1 Participants: 1 Read full topic
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