Sentiment Analysis — ML project from Scratch to Production (Web Application)
Author(s): Shareef Shaik Originally published on Towards AI. Metrics used : A glimpse of the application we are going to build. When I started learning Data science, I always get lost in the amount of material it offers. After learning it for …
First Principles Approach in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. a. Problem Framing Image Source: Pexels The first principles approach to problem-solving is the act of breaking a problem down to the fundamental parts and building up from there. This method is …
ResNet Architecture: Deep Learning with PyTorch
Author(s): Satyam Kumar Singh Originally published on Towards AI. Deep Learning From winning ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2015 till now ResNet Architecture has been remarkable in the field of Data Science. Apart from ILSVRC, ResNet also won Detection …
Assumptions of Linear Regression — What Fellow Data Scientists Should Know
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Marius Masalar on Unsplash Linear Regression is a linear approach to modeling the relationship between a target variable and one or more independent variables. This modeled relationship is then used for predictive …
YOLO V5 — Explained and Demystified
Author(s): Mihir Rajput Originally published on Towards AI. Computer Vision YOLO V5 — Model Architecture and Technical Details Explanation Source: https://pixabay.com/ From my previous article on YOLOv5, I received multiple messages and queries on how things are different in yolov5 and other …
Top List of Quick Pandas Methods
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Saving you time with these useful tricks After 3 months of learning Pandas daily, these are the top algorithm you can use for a quick but significant edit without losing your patience. If you …
Clustering: What Is It and When To use it?
Author(s): Daksh Trehan Originally published on Towards AI. Machine Learning, Data Science A comprehensive guide to K-Means, K-Means++, and DBSCAN. Clustering is a Machine Learning technique whose aim is to group the data points having similar properties and/or features, while data points …
Here’s the Pipeline:
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Andy Kelly on Unsplash This article explains the important parts of a Regression/Classification Pipeline (the differences have been shown wherever required). Additional points can be added based on the domain and industry …
Gradient Descent Algorithm Explained
Author(s): Pratik Shukla Originally published on Towards AI. Machine Learning With Step-By-Step Mathematical Derivation Source: Unsplash Index: Basics Of Gradient Descent. Basic Rules Of Derivation. Gradient Descent With One Variable. Gradient Descent With Two Variables. Gradient Descent For Mean Squared Error Function. …
How to Evaluate a Data Visualization
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. A good data visualization should have all essential components in place Image by Benjamin O. Tayo Data visualization is one of the most important branches in data science. It is one of …
Role of Data Visualization in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data visualization plays an integral role in machine learning from data analysis to model building, testing, evaluation, and selection Image by Benjamin O. Tayo Data Visualization is one of the most important …
Introduction
Author(s): ___ Originally published on Towards AI. In this article, I will explain why when building a linear model, we add an x₁x₂ term if we think the variables x₁ and x₂ interact and conclude with a principled method to add interaction …
3 Ways to Collect Big Data with your PC
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. How and where to find data on the internet? This article is intended to be technical. I hope you can apply the content of this article to improve your work and your skills. Photo …
Quantitative Ability — A Requirement for Data Science/Business Analytics Programs
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Analyzing various four-year degree programs that can prepare you for a master’s degree in data science or business analytics Image by Benjamin O. Tayo With several businesses and organizations turning to data …
Loading Different Data Files in Python
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. What is the structure of HDF5 files? Source: Pixabay Don’t we all just love pd.read_csv()… It’s probably the most endearing line from our dear, pandas library. No doubts, when it comes to tabular …
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