Machine Learning
3 Concepts Every Data Scientist Must Know Part – 3
1. What is the significance of sampling? Name some techniques for sampling? For analyzing the data, we cannot proceed with...
Read More β3 Concepts Every Data Scientist Must Know Part – 2
1. Bagging and Boosting Bagging and Boosting are two different ways used in combining base estimators for ensemble learning (Like...
Read More β3 Concepts Every Data Scientist Must Know Part – 1
Central Limit Theorem We first need to introduce the normal (gaussian) distribution for central limit theorem to make sense. Normal...
Read More βMost Common Feature Scaling methods in Machine Learning
Definition Feature scaling is the process of normalizing the range of feature in a dataset. Real-world datasets often contain features...
Read More βStress Detection Project using Machine Learning
Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification behind having an unpleasant...
Read More βOutlier Detection methods in Machine Learning
Objective An outlier is an individual point of data that is distant from other points in the dataset. It is...
Read More βMissing Values Treatment methods in Machine Learning
Delete Missing Value Rows Missing values can be handled by deleting the rows or columns having null values. If columns...
Read More βRestaurant Recommendation System using Machine Learning
In this article we are going to discuss about the Restaurant Recommendation System. it is an application that recommends similar...
Read More βHierarchical clustering for Machine Learning
Hierarchical clustering is another unsupervised machine learning algorithm, which is used to group the unlabeled datasets into a cluster. Hierarchical...
Read More βDifference between Data Science and Machine Learning
Data Science Data science is a field that studies data and how to extract meaning from it, using a series...
Read More βDifference between Data Scientist and Data Analyst
What are their skills? Data Analyst Data Mining Data Warehousing Math, Statistics Tableau and data visualization SQL Business Intelligence Advanced...
Read More βDifference between Data Scientist and Data Engineer
What do they do? Data Engineers Data Engineers design, build, test, integrate, and optimize data collected from multiple sources. They...
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