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data science

A collection of 35 posts

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
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
data science

Over and under sampling

This article aims to improve our understanding of oversampling and under sampling which are important concepts in Data Science.

Sanjana Babu Sanjana Babu
data science

Phases / life cycle of Data Science

This article serves as an introduction to data science life cycle and gives an overview on the various phases.

Sanjana Babu Sanjana Babu
data science

Time series forecasting using Python [Stock Market Trends]

In this article, we will see how time series forecasting is done using Python. We have forecasted / predicted the stock market trends of HDFC using NIFTY50 stock market data.

Sanjana Babu Sanjana Babu
data science

Time Series Analysis/ Forecasting Techniques + Models

In this article, we will understand why time series analysis is important and how it is done using different techniques like Spectral analysis and different time series models like Auto-regressive (AR) model.

Sanjana Babu Sanjana Babu
data science

Manifold Learning

In this article, we will explore manifold learning, which is extensively used in computer vision, data mining and natural language processing.

Sanjana Babu Sanjana Babu
data science

Empirical Risk Minimization

In this article, we will explore Empirical Risk Minimization (ERM) technique used in machine learning.

Sanjana Babu Sanjana Babu
data science

Introduction to Time Series Data

In this article, we will get an understanding of Time Series Data along with different types of time series, analysis and forecasting.

Sanjana Babu Sanjana Babu
data science

Data Visualization using Tableau

In this article, we have explored how Tableau can be used for data visualization by using it on Population dataset.

Sanjana Babu Sanjana Babu
data science

Cross entropy method for optimization

In this article, we will understand the cross entropy method that is widely used as an optimization technique in machine learning.

Sanjana Babu Sanjana Babu
data science

Simulated Annealing

In this article, we will understand what simulated annealing is and get to know its uses in Probability and Data Science.

Sanjana Babu Sanjana Babu
data science

Monte Carlo Sampling Techniques

In this article, we will explore the various Monte Carlo sampling techniques used in Probability and Data Science.

Sanjana Babu Sanjana Babu
data science

Data Visualization

In this article, we will understand more about data visualization, different charts used and explore some Data Visualization tools.

Sanjana Babu Sanjana Babu
data science

Data Warehousing using SSIS

In this article, we will learn how SQL Server Integration Services (SSIS) is used for Data Warehousing in Data Science.

Sanjana Babu Sanjana Babu
data science

Data Warehousing

In this article, we will understand the concept of Data Warehousing in Data Science and get an idea of some tools used for data warehousing.

Sanjana Babu Sanjana Babu
Machine Learning (ML)

Similarity Search on Big Vector Data

In this article, we have explored Similarity Search on Big Vector Data along with Nearest Neighbor Search (NNS) or Approximate Nearest Neighbor Search (ANNS).

Michael Chen
OpenGenus IQ © 2022 All rights reserved â„¢ [email: team@opengenus.org]
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