Building a Comprehensive Movie Recommender Website: An AI/ML Expert‘s Perspective
In this article, we are going to start an end-to-end project where we will build a movie Recommender system using Machine learning
Detecting COVID-19 from CT Scans Using Deep Learning: A Comprehensive Review
You will be able to build a CNN model for COVID-19 to perform multi-class image classification by training it with your own dataset.
Combating Currency Counterfeiting with AI: A Deep Learning Approach to Bank Note Authentication
Keras is an open-source library that is used to implement ANN in Keras. We will use Keras Sequential Model to authenticate banknotes.
A Comprehensive Guide to Google Sheets API Integration with Python and Google Cloud Platform
In this article we'll use Google sheet and Google Drive APIs from the Google cloud platform to combine this Google sheet with Python.
Harnessing the Power of Decision Trees for Healthcare Analytics
In this article, We will understand the core concepts of the Decision Tree for healthcare analysis and different ensemble techniques.
Detecting Anomalies in Time Series Data with Facebook Prophet
This article is about Anomaly Detection Model. Learn and practise detecting anomalies in time-series data using Facebook Prophet.
Simplifying NLP Tasks using Transformers Pipeline
We will use transformers package that helps us to implement NLP tasks by providing pre-trained models and simple implementation.
Demystifying Data Science Professionals: Roles, Skills, and Trends
In this article, you will learn the difference between the different data science professionals roles and the career opportunities.
A Deep Dive into Deep Learning: Concepts, Techniques, and Applications
In this guide, we will cover basic as well as advanced topics involved in Deep Learning which will help you understand the concepts better.
A Comprehensive Guide to Ensemble Learning: Foundations, Frontiers, and Future
Ensemble learning in python is a meta approach that works on predictive performance by mixing different combinations of the prediction.
Beginner's Guide on Types of Generative Adversarial Networks
This article provides a step-by-step approach to Generative Adversarial Networks. It determines the patterns and similarities in the data.
A Comprehensive Guide to Markov Chains: Theory, Algorithms, and AI Applications
In this guide on Markov Chain, several value-able ideas have been developed which are paramount in the field of data analytics.
A Comprehensive Guide to Fourier Analysis
The importance of the Fourier analysis is paramount. It is one of the pillars of engineering. We can say it is a study of "atoms of waves".
A Comprehensive Guide to Deep Learning for Computer Vision in 2024
This article is a Comprehensive Guide on Deep learning for Computer vision. Explore how CNN can be applied to an image classification task.
A Comprehensive Guide to Data Visualization with Microsoft Power BI
What is Power BI? It is a Microsoft cloud-based business analysis and intelligence service. Explore Power BI applications and features here.
A Comprehensive Guide to Yandex CatBoost for Regression
CATBOOST is an open-source machine learning library developed by the search engine giant Yandex. It makes feature engineering tasks easier.
12 Essential Plot Types for Effective Data Visualization
This article will study about the different data plot types for visualisation which draws these plots in plotly and seaborn / matplotlib.
Web Scraping News Articles and Analyzing Sentiment with NLP: Insights from an AI Expert
Web scraping and NLP have many applications. Learn how to scrape news articles and perform sentiment analysis with Textblob and Pattern
Visualizing Data Flow with Sankey Diagrams: A Comprehensive Guide for Python Developers and Data Scientists
Sankey diagram are used to depict the flow from one entity to another. Learn how to use plot Sankey diagram with Plotly in Python.
A Comprehensive Guide to Visualizing High-Dimensional Data with Parallel Coordinates Plots
Learn to visualize high dimensional numerical data with Parallel Coordinates Plot using Plotly and Pandas for effective visualization
Understanding K-means Clustering in Machine Learning (With Examples)
Unlock data insights with K-Means clustering: a powerful tool for efficient pattern discovery and analysis.
Tune ML Models Efficiently with Optuna: Focus on XGBoost
Optuna is the SOTA algorithm for fine-tuning ML and deep learning models. It depends on the Bayesian fine-tuning technique.
Traversing Trees Level-by-Level in Python: An AI/ML Perspective
Traversal is the process of traveling a tree node by node, level by level until all nodes have been searched effectively and thoroghly
Unleashing the Power of Transfer Learning with TensorFlow
In this article, we are going to learn how to learn Transfer Learning model with TensorFlow in python for deep learning
Training Neural Networks with Keras: A Beginner‘s Guide
Understand neural network with Keras. Keras is a Python library having an API for working with neural networks & deep learning frameworks
The Ultimate Guide to Setting Up an ETL (Extract, Transform, Load) Process Pipeline
ETL is a process that extracts data from multiple source systems, changes it , and then puts it into the Data Warehouse system.
TensorFlow for Beginners: A Comprehensive Guide with Python Examples
Get to know TensorFlow: the go-to tool for machine learning and deep learning. Discover its features and benefits in this comprehensive article.
A Deep Dive into Regularization Techniques for Linear Models
Learn about the different types of regularization techniques and their implementation in Python to reduce error and improve model prediction.
String Data Structure in Python: A Comprehensive Guide
Python String is a one of the most basic and most important data structure. Learn how to create , access and manipulate strings in depth.
Predicting Startup Profits with Multiple Linear Regression: An In-Depth Guide
The difference between linear and multiple linear regression is that in Multiple linear regression there is more than one independent variable
A Comprehensive Guide to Clustering for Data Science (2024 Edition)
Learn about the different applications of clustering like image segmentation, data processing, and how to implement k means clustering algorithm in Python.
Plotting Images in Python with Matplotlib: The Ultimate Guide
Learn how to convert images to NumPy array and plot them using the image sub-module of Matplotlib library in Python to create visualizations
Performing Time Series Analysis using ARIMA Models in R
Gain comprehensive knowledge about the working of Arima. Learn how to perform time series analysis using the ARIMA model in R.
Uncovering Structure in the MNIST Dataset with Principal Component Analysis
PCA is the technic of dimensionality reduction. Here we are going to learn about PCA and its implementation on the MNIST dataset.
Exploring the Power of the Pattern Library for NLP in Python
Learn about Pattern which is an extremely useful open source library in Python, that can be used to implement Natural Language processing
Define the character set
In this article, we are going to create a password generator using python. It will suggest passwords for any site in which you try to sign in
Optimizing Your Pokemon Team with Python and PuLP
This article is a walkthrough to perform optimization on Pokemon data using PuLp, the linear programming and optimization library.
NLP – Tags, Frequencies, Unique Terms, n-grams
NLP is a game-changer in the world of artificial intelligence. Learn about text processing, n-gram analysis, etc., in Python.
Neural Networks for Regression with TensorFlow
Explore building neural network models for regression. Learn TensorFlow, visualize data, check predictions, and model accuracy.