Transfer Learning for NLP: Fine-Tuning BERT for Text Classification
Transfer learning in NLP is a technique to train a model to perform similar tasks on another dataset. Learn how to fine tune BERT for text classification.
The 12 Best Business Analytics Books to Read in 2024
Business Analytics is one of the most booming job roles in the Data Science Industry. Top business analytics books which will help you learn and grow.
The Top 8 Data Science Job Roles Shaping the Future of Business in 2024
Here is a description of top Job Roles in data science industry which will clear your doubts and help you target the job role and career path that suits you
The 20 Best COVID-19 Data Visualization Dashboards
Data Visualization has played a key role in understanding the spread of Covid-19. Have a look at the 20 most compelling COVID-19 Dashboard across the globe.
Top 10 Applications of Natural Language Processing (NLP) in 2024
Top 10 Application of Natural Language Processing (NLP). In this article learn about the top NLP applications in business.
Time Series Forecasting with Microsoft Power BI: An Expert Guide
Discover Data Forecasting, Forecast Accuracy with Power BI. Learn accurate time series forecasting with a for insightful visuals.
SQL Functions: A Data Analyst‘s Best Friend
SQL functions that are commonly used for data analysis tasks. In this article learn the most common SQL functions for data analysis with examples.
Unleashing the Power of Python to Automate Google Sheets: The Ultimate Guide for 2024 and Beyond
Learn how to use Python to automate Google Sheets with our updated blog. Save time and effort by automating your Google Sheets with Python.
The Essential Guide to Python Style for AI & Machine Learning Projects
Python style guide enables you to write impressive python code. In this article learn the different Python conventions mentioned in the python PEP8 style guide.
A Comprehensive Guide to Part-of-Speech Tagging in Natural Language Processing
Understandout the fundemental concepts of natural language processing that include Part-of-Speech (POS) tagging, Dependency parsing and Constituency parsing
Neural Networks from Scratch in Python and R: A Step-by-Step Guide
Understand neural networks from scratch in python and R. Master neural networks with perceptron, NN methodology and implement it in python and R.
MobileBERT: Rethinking Model Design for Effective Knowledge Distillation
MobileBERT introduces bottlenecks in the transformer blocks, which allows us easily to distill the knowledge from larger teachers into smaller students.
Leveraging Machine Learning for Efficiency in Supply Chain Management
Understand use of Machine Learning in Supply Chain Management where you would like to predict the defective piece percentage in delivery from the supplier.
KNNImputer: A Robust Way to Impute Missing Values Using Scikit-Learn
Learn about kNNImputer and how you can use them to impute missing values in a dataset. Also get an overview of missing value and its patterns.
Hypothesis Testing: A Crucial Tool in the AI and Machine Learning Toolbox
Learn the basics of Hypothesis Testing and types of hypothesis testing. Introduce yourself to statistically significant p-value and confidence levels.
A Comprehensive Guide to Training Image Classification Models in PyTorch and TensorFlow
Build image classification models in Pytorch and TensorFlow. Learn CNN for image classification on MNIST dataset and analyze the performance of the model.
Mastering SQL Keys: A Comprehensive Guide for AI and ML Professionals
Different types of keys in SQL, including candidate key and foreign key. Understand how they ensure data integrity and consistency.
Understanding the Difference Between R-Squared and Adjusted R-Squared: An In-Depth Guide
Learn the concepts of R-squared and adjusted r squared. Understand the difference between r squared and adjusted r squared and why you need them.
Deploying a PyTorch Image Classifier with Flask: A Step-by-Step Guide
Flask is a web application framework written in Python. Learn model deployment and build an image classification model in PyTorch, deploy it using Flask.
Build Highly Scalable Text Categorization Models with Spark NLP
Use Spark NLP on AWS EMR and do text categorization of BBC data. We examine different evaluation metrics in Spark MLlib and see how to store a model.
8 Essential SQL Techniques for Data Analysis and Machine Learning
SQL is a key language for analytics, data science. Learn SQL techniques to find out how to perform data analysis using SQL in analytics, data science domain
8 Data Visualization Tips to Improve Data Stories: An AI/ML Perspective
Data visualization is not easy to master. Therefore, this article covers some esentials data visualization tips to create better visuals for your data.
10 Impressive Open Source Data Science Projects to Boost Your Portfolio
Open source data science projects add a lot of shine to your resume. Here are 7 such open source projects you can use to impress your interviewer.
5 Striking Pandas Tips and Tricks for Analysts and Data Scientists
Learn 5 Pandas tips, tricks, hacks for python in jupyter notebook. It is one of the most essential libraries to be efficiently mastered by data scientists.
5 Exciting Computer Vision Applications Transforming Industries in 2024
Computer vision applications & projects from pose detection to image transformation. List of applications of computer vision.
10 Techniques for Dealing with Class Imbalance in Machine Learning
Learn how to use data augmentation, resampling techniques, and cost-sensitive learning for solving class imbalance in machine learning.
A Practical Guide to Hypothesis Testing: Z-Test vs T-Test
Learn about hypothesis testing, z-test, and t-test and understand the difference between the two using different problems with examples. Start Reading Now!
SQL for Beginners and Analysts: Get Started with SQLite Databases in Python
SQL is an important skill to master for any analyst. Therefore, we explore the basics of SQL in this article using the SQLite database in Python!
Predictive Modeling in Excel: A Comprehensive Guide to Linear Regression
You can perform predictive modeling in Excel by following a few simple steps. In this article learn how to create a linear regression model in Excel.
Unlocking the Power of Unstructured Data: A Comprehensive Guide to Information Extraction in NLP
Learn about Information Extraction, its process, and tools like SpaCy. Extract insights from text data efficiently with code examples.
Visualizing Geospatial Data in Jupyter with Kepler.gl: A Comprehensive Guide
Visualizing geospatial data using kepler.gl for jupyter notebooks. In this article we'll learn about kepler.gl and use it for visualizing geospatial data.
A Beginner‘s Guide to ANOVA in Python for Data Science (with Updated COVID-19 Case Study)
ANOVA is a key topic in statistics and data science. Learn how ANOVA works using a COVID-19 case study in Python.
A Deep Dive into Hugging Face‘s Tokenizers Library for NLP
Hugging Face has released a brand new Tokenizer libray version for NLP. This Tokenizer version bring a ton of updates for NLP enthusiasts
Mastering Geospatial Analysis in Python with Folium: A Comprehensive Guide
Explore Folium: Easy map tool. Install, plot maps, markers, paths, layers, & plugins. Visualize COVID-19 hotspots & NYC bus traffic.
The Beginner‘s Guide to Winning Kaggle Competitions in 2024
New to Kaggle and don't know how to start? Get started with Kaggle competitions with this article to know how to make your first Kaggle submission
Mastering Excel Dashboards: An Expert Guide for Analytics Professionals
Learn to represent crucial data using Excel for quick consensus and strategic decision-making. Explore five powerful Excel dashboards here.
Computer Vision Application | Add Image Behind Object using OpenCV
Working with videos is a challenging deep learning task. Learn how to add an image to a dynamic video using OpenCV and deep learning.
The Ultimate Guide to Data Structures in Python
Data structures are important for storing data efficiently. Here are the various types of Python's built-in and user-defined data structures.
A Deep Dive into the AUC-ROC Curve: An AI Expert‘s Perspective
The AUC-ROC curve in machine learning, dive deep into its sensitivity and specificity, probability of prediction, and so on. Read more to know!