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data science

A collection of 50 posts

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

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 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 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 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 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 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 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 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 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 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
data science

Fuzzy Inference System: Introduction

In this article, we will discuss a few fundamental concepts that govern the functioning of Fuzzy Systems. We will also discuss some of their real world applications while comparing and contrasting them to Crisp (Hard Computing) Systems.

Agastya Gummaraju
data science

EEG Signal Analysis With Python

In this article, we will learn how to process EEG signals with Python using the MNE-Python library.

Reyansh Bahl
Machine Learning (ML)

Different Hyperparameter optimization techniques

In this article, we will explore various techniques used for optimizing hyperparameters of the machine learning model such as Grid Search, Bayesian Optimization, Halving randomized search and much more.

Sanjana Babu Sanjana Babu
clustering algorithm

Spectral Clustering

Spectral clustering is an interesting Unsupervised clustering algorithm that is capable of correctly clustering Non-convex data by the use of clever Linear algebra.

B E Pranav Kumaar B E Pranav Kumaar
data science

Statistical Features in Data Science

In this article, we will understand about various statistical features like median, quartiles, inter quartile range (IQR), bias and variance.

Sanjana Babu Sanjana Babu
data science

Confidence intervals

This article aims to improve our understanding on one of the basic concepts of statistics: confidence intervals.

Sanjana Babu Sanjana Babu
data science

Relation of Data Science to ML, AI, NLP, DL

In this article, we will understand how data science is related to various other domains such as Machine learning, Artificial intelligence. Natural language Processing and Deep learning.

Sanjana Babu Sanjana Babu
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