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Feature Engineering for Images: A Valuable Introduction to the HOG Feature Descriptor
Overview Learn the inner workings and math behind the HOG feature descriptor The HOG feature descriptor is used in computer vision popularly for object …
Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model
Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification …
Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!
Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on …
3 Beginner-Friendly Techniques to Extract Features from Image Data using Python
Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but …
A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)
Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google …
11 Innovative Data Visualizations you Should Learn (in Python, R, Tableau and D3.js)
Overview A look at 11 mind-blowing and innovative data visualizations in Python, R, Tableau and D3.js These data visualizations span a variety of real-world …
Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This …
How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide
Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science …
NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python
Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the …
10 Powerful Python Tricks for Data Science you Need to Try Today
Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily …
The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few …
Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches
Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the …
A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code
Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …
Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac
Overview Facing issues trying to install Python on your Linux, Mac or Windows machine? This article is for you! Step-by-step walkthrough on how to …
A Comprehensive Guide to Build your own Language Model in Python!
Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we …
A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework
Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework …
11 Important Model Evaluation Metrics for Machine Learning Everyone should know
Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …
Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science
Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD here and …
7 Innovative Machine Learning GitHub Projects you Should Try Out in Python
Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine …
A Data Science Leader’s Guide to Managing Stakeholders
Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is …
