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data science

A collection of 57 posts

data science

Everything about Sample Size

Sample size refers to the number of individual observations or data points collected from a population for a specific study or analysis.

Vinit
Machine Learning (ML)

Cluster Sampling

Cluster sampling is a probabilistic sampling approach wherein the population is divided into clusters, and a random subset of clusters is chosen for examination.

Vinit
data science

Avoid these 5 Mistakes as a new Data Scientist

In this article at OpenGenus, we have explored 5 common mistakes one make at their first job as a Data Scientist fresh out of School. We wrap up with 5 tips as well.

Devansh Biswal
data science

Unleashing the Power of APIs in Your Data Science Projects - 3 APIs You Can Master in Minutes

Imagine you're a data scientist or a developer, and you're about to embark on a new project. You're excited, but there's a problem - you need data, lots of it, and from various sources.

Devansh Biswal
data science

Product based Mock Interview for Data Science

In this article at OpenGenus, we will get familiarized with the flow of a product-based interview round.

Sanjana Babu
data science

14 Data Visualization Techniques in Data Science

In the world of data science where considerable volumes of information are generated and analyzed, communicating processed insights becomes vital. Data visualization transcends complexity barriers by turning raw data into useful information at different levels for various audiences.

OpenGenus Tech Review Team OpenGenus Tech Review Team
Machine Learning (ML)

9 Advantages and 10 disadvantages of Naive Bayes Algorithm

In this article, we'll talk about some of the key advantages and disadvantages of Naive Bayes algorithm.

RAHUL ARORA
data science

Getting started with Data Science

Every day in this world data is generating at the rate of 2.5 quintillion bytes per second. The field of Data Science tries to explore the insights we can gather from the data how can we predict the future or how one organization can improve its efficiency by acting on that data.

Anand Upadhyaya Anand Upadhyaya
data science

Data Wrangling

In this article, we have explored the concept of Data Wrangling which is a critical process/ phase in Data Science. We have explored the tools used for Data Wrangling as well.

Shlok Singh
data science

Data Science Cheatsheet / List of all Data Science topics

This is the most complete Data Science Cheatsheet which you should follow to revise all Data Science concepts within 30 minutes and get ready for Interviews and stay in form.

Sanjana Babu
List of Interview Questions

Culture Fit interview for Data Science job [Mock]

In this article, we will get to know the flow of a culture fit interview for a Data Science job and some pointers on how you could answer the questions asked.

Sanjana Babu
data science

How is Deep Learning used for Data Science tasks?

In this article, we will see how deep learning is used in Data Science.

Sanjana Babu
data science

Project ideas for Data Science

In this article, we will get to know some ideas for data science projects.

Sanjana Babu
data science

Python questions for Data Science interviews

We will discuss a basics of Python here as importance of Python for data science cannot be emphasized enough.

Sanjana Babu
data science

Different types of Hypotheses

In this article, we will get to know about the various types of hypotheses in statistics.

Sanjana Babu
data science

Advanced interview questions on Data Science

In this article, we have discussed 35 advanced data science questions asked in interviews.

Sanjana Babu
data science

Different Datasets available

In this article, we will take a look at the various datasets available that can be used for different problems.

Sanjana Babu
data science

Sites to find different datasets

In this article, we will see some of the data sources from where we can download and use datasets for free for our data science projects.

Sanjana Babu
data science

AO* algorithm

AO* algorithm is a best first search algorithm. AO* algorithm uses the concept of AND-OR graphs to decompose any complex problem given into smaller set of problems which are further solved.

Anubhav Tewari
Natural Language Processing (NLP)

Types of NLP models

Natural Language Processing (NLP) refers to a branch of Artificial Intelligence (AI) in Computer Science that gives computers the ability to analyze and interpret human language.

Chun Yan Liu
data science

F Test

F-tests get their name from the F test statistic, which was named after Sir Ronald Fisher. The F-statistic is just a two-variance ratio. Variances are a metric for dispersion, or how far the data deviates from the mean. Greater dispersion is shown by higher values.

Saroj Mali
data science

Time Series Classification

In this article, we will learn about a beginner-level approach to time series classification.

Reyansh Bahl
data science

Fuzzy Relations, Propositions, Implications and Inferences

In this article, we will first learn about fuzzy relations and the different types of operations that can be performed on them. Then, we will learn about the truth values of fuzzy propositions, about fuzzy implications or if-then rules.

Agastya Gummaraju
data science

Introduction to Feature Engineering

In this article, we will be learning about an important step in the machine learning process: feature engineering.

Reyansh Bahl
Machine Learning (ML)

Performance Comparison of Different Models and Data Preprocessing Techniques

In this article, we will be comparing the performance of different data preprocessing techniques (specifically, different ways of handling missing values and categorical variables) and machine learning models applied to a tabular dataset.

Reyansh Bahl
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