### 25 Questions to test a Data Scientist on Image Processing

Introduction Extracting useful information from unstructured data has always been a topic of huge interest in the research community. One such example of unstructured …

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Introduction Extracting useful information from unstructured data has always been a topic of huge interest in the research community. One such example of unstructured …

Introduction You can think of machine learning algorithms as an armory packed with axes, sword and blades. You have various tools, but you ought …

Introduction Decision Trees are one of the most respected algorithm in machine learning and data science. They are transparent, easy to understand, robust in …

Introduction If you were to ask me 2 most intuitive algorithms in machine learning – it would be k-Nearest Neighbours (kNN) and tree based …

Introduction Logistic Regression is likely the most commonly used algorithm for solving all classification problems. It is also one of the first methods people …

Introduction Whether you are a novice at data science or a veteran, Deep learning is hard to ignore. And it deserves the attention, as …

Introduction Humans are social animals and language is our primary tool to communicate with the society. But, what if machines could understand our language …

Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. A …

Introduction Statistics forms the back bone of data science or any analysis for that matter. Sound knowledge of statistics can help an analyst to …

Introduction SQL is a universal tool in data science. Irrespective of which language you use as your main tool – you need to know …

- 6 Exciting Open Source Data Science Projects you Should Start Working on Today
- Commonly used Machine Learning Algorithms (with Python and R Codes)
- 24 Ultimate Data Science Projects To Boost Your Knowledge and Skills (& can be accessed freely)
- A Simple Introduction to ANOVA (with applications in Excel)
- 7 Regression Techniques you should know!
- Introduction to k-Nearest Neighbors: A powerful Machine Learning Algorithm (with implementation in Python & R)
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
- Understanding Support Vector Machine algorithm from examples (along with code)

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