-
12 Useful Pandas Techniques in Python for Data Manipulation
Pandas is a widely used tool for data manipulation in python. Learn Pandas techniques and data manipulation with pandas in python like impute missing values
Aarshay Jain 29 Oct, 2024
-
SVM Skill Test: 25 MCQs to Test a Data Scientist on SVM (Updated 2025)
Test your knowledge of Support Vector Machine (SVM) with this 25-question multiple choice quiz, from basic concepts to advanced topics.
Ankit Gupta 01 Dec, 2024
-
Beginner’s guide to Web Scraping in Python using BeautifulSoup
Learn how to perform Web scraping in Python using BeautifulSoup. BeautifulSoup is a very popular web scraping library in Python. Start scraping now!
Sunil Ray 29 Oct, 2024
-
Stock Market Price Prediction Using Deep Learning
Stock market predictions using machine learning and deep learning techniques, such as Moving Averages, knn, ARIMA, prophet, and LSTM.
Aishwarya Singh 14 Apr, 2025
-
Power of Bayesian Statistics & Probability | Data Analysis (Updated 2025)
Learn how Bayesian Statistics can help you solve business problems with data analysis. Enhance your skills in machine learning & data science
NSS 05 Dec, 2024
-
30 Logistic Regression Interview Questions
Prepare for your logistic regression interview with these comprehensive questions and solutions. Test your knowledge and improve your skills.
Ankit Gupta 09 Jan, 2025
-
Guide to AUC ROC Curve in Machine Learning
Learn about the AUC ROC curve, its components, & how to implement it in Python for effective model evaluation and multi-class classification.
Aniruddha Bhandari 01 May, 2025
-
30 Questions to Test a Data Scientist on Tree Based Models
30 Questions to test a data scientist on tree based models including decision trees, random forest, boosting algorithms in machine learning.
Ankit Gupta 27 Apr, 2023
-
Feature Selection in Machine Learning
Comprehensive guide to the most popular feature selection techniques used in machine learning, covering filter, wrapper, and embedded methods
Aman 01 May, 2025
-
Confusion Matrix in Machine Learning
Explore the Confusion Matrix, its key terms, calculations for classification problems, and how to implement it using Scikit-learn in Python.
Aniruddha Bhandari 01 May, 2025
