Master Generative AI with 10+ Real-world Projects in 2025!
Questions on ensemble modeling technique & machine learning to test a data scientist. These questions include bagging, boosting, stacking andvoting.
6 deep learning applications using API & open source codes. A beginner in machine learning / deep learning can build these in minutes using Python
Test your knowledge of clustering techniques with 40 Questions & Answers on Clustering Techniquon K-means, and density-based algorithms!
Here are 40 questions on Base SAS to test the expertise of analysts & data scientists. Questions covers theoretical & practical applications of Base SAS
This is an introductory guide on probability. It explains random variables, binomial distribution, z-score, central limit theorem & many more with examples
This guide explains inferential statistics for data science in simple and practical manner. This includes t-tests, hypothesis testing, ANOVA & Regression
Explore questions on Deep Learning which every data scientist should know. Answer these questions on neural networks and deep learning.
This is a learning plan for beginners in data science for 2017. Learn machine learning, deep learning & data science using this plan to get your first job.
This learning plan is for people transitioning their career in analytics and data science. Learn machine learning & data science along with real life cases.
This plan is for people with basic knowledge of machine learning / deep learning. Assess your skills & plan your data science & Big Data learning for 2017
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