Naveen Yadav

How do I unobfuscate javascript file?

There are a few tools that you might try when wanting to analyse [removed] JSDetox Malzilla JavaScript Deobfuscator ExtractScript JS-Beautifier JS-Unpack (see also blog) Rhino Debugger Firebug SpiderMonkey V8 JSNice See also a few tutorials on analysing unobfuscate [removed] Analysing Malicious JavaScript by Dejan…

Java

Answered Oct 12, 2022 · 1.2K Views Read answer →

Are there any alternatives to TOAD tool for SQL Server? [closed]

Yes, there are some other great apps like Toad for SQL Server that you can go for like SQL Server Management Studio (Free), SQuirreL SQL (Free, Open Source), Database .NET (Free Personal) and Azure Data Studio (Free, Open Source). Although the Navicat UI is more polished, the feature set and extensible nature of Apex…

SQL Server

Answered Aug 26, 2021 · 1.5K Views Read answer →

How Word2vec is different from FastText?

Word2Vec uses a neural network to represent words whose hidden network encodes the representation into vectors. On the other hand, FastText breaks words into several n-grams and train on the data. For instance, the tri-grams for the word apple is app, ppl, and ple (ignoring the starting and ending of boundaries of…

Data Science

Answered Dec 24, 2019 · 1.7K Views Read answer →

A user is running a logistic regression with a tf-idf being ran on a text column. How can he ensure the parameters for this are tuned as well as possible?

Below is the codeThere are many tuning parameters in machine learning algorithm but GridSearch is one of the best tuning parameters considered for classification of a model. We can use grid search to find out the best C value for

Data Science

Answered Nov 30, 2019 · 1.6K Views Read answer →

A user is trying to tune the parameter between the SVM, Logistic regression, MLP and Random forest regression in the python but it shows a value error for SVM and logistic regression. The sample data…

Wavelength Phase_velocity Shear_wave_velocity 1.50 202.69 240.73 1.68 192.72 240.73 1.79 205.54 240.73 17.08 218 229 16.73 243 269 17.72 245 269 16.72 212 253 17.26 214 253 ........ Below is the code. from sklearn.linear_model import LogisticRegression

Data Science

Answered Nov 30, 2019 · 1.8K Views Read answer →

What are the evaluation parameters considered in logistic regression?

Following are the evaluation parameters considered in logistic regression Precision Recall F1-Score ROC curve All the above parameters are considered on positive and negative rates of the classes which are tabulated below

Data Science

Answered Nov 30, 2019 · 1.6K Views Read answer →

Explain K-Fold cross validation with code.

Cross-validation is a method which is used to estimate the performance of a model. K- Fold is used to evaluate the model on a limited data sample. The procedure works on a single parameter called k which refers to the number of groups in which a given data sample is to be split. When a specific value for k is chosen,…

Data Science

Answered Nov 30, 2019 · 1.9K Views Read answer →

Explain with a case study of logistic regression in Python.

In order to implement a logistic regression in Python we need to import following basic libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline Now we will import the data and explore the data ad_data = pd.read_csv('advertising.csv')

Data Science

Answered Nov 28, 2019 · 1.8K Views Read answer →

A user get this error when trying to fit glmnet() with family="binomial", for Logistic Regression fit:

> data x x y train=sample(1:dim(x)[1],287,replace=FALSE) > xTrain=x[train,] > xTest=x[-train,] > yTrain=y[train] &a

Data Science

Answered Nov 7, 2019 · 4.3K Views Read answer →

Explain Decision tree

Decision trees use a tree-like structured algorithm which contains conditional control statements to predict the outcome based on the possible consequences. They are helpful in Machine learning specifically in decision analysis to help identify a strategy. It uses an internal node that represents test in the attribute…

Data Science

Answered Nov 7, 2019 · 1.6K Views Read answer →

Mention some of the use cases of Named Entity Recognition?

Named Entity Recognition can be used in many fields and are helpful in a wide variety of cases. Some of the use cases are Content classification for providers. NER can help classify and identify the names of people, places, monetary value, etc in articles, news and many other sources. Such identification can help us…

Data Science

Answered Nov 6, 2019 · 1.5K Views Read answer →