Machine Learning
📄 59 ArticlesMulticollinearity in Simple Terms
We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly […]
ARIMA interview questions | Day 7
Today is Day 6 and we will have 10 ARIMA interview questions for you. These ARIMA interview questions are of intermediate level and […]
P-value in Linear Regression
P-value in Linear RegressionSuppose a child in the family goes to the school daily and one day, his teacher writes […]
HDFS and YARN command cheat sheet
Topic – HDFS and YARN command cheat sheetLet’s look into some of the top HDFS commands that you might require […]
Installing XGBoost and pandas_profiling in MacOS
IInstalling xgboost and pandas_profiling in MacOSWhy are we writing this article to install a simple library?It’s because there is a […]
Best Fit Line in Linear Regression
Best Fit Line in Linear RegressionThe best fit line in linear regression is the one which tries to minimize the […]
Regression Line vs Line of Best Fit
Regression Line vs Line of Best Fit,understand the difference between the two concepts of Linear RegressionRegression Line vs Line of […]
NLP Interview Questions
1. What problems can NLP solve?NLP can solve many problems like, automatic summarization, machine translation, named entity recognition, relationship extraction, […]
Data Science Model with high accuracy in training dataset but low in testing dataset
What do you mean when I say “The model has high accuracy in Training dataset but low in testing dataset”Data […]
Missing Value Treatment by mean, mode, median, and KNN Imputation | Day 5
Missing Value Treatment by mean, mode, median, and KNN Imputation One of the most important technique in any Data Science […]