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Getting Started with Titanic Kaggle | Part 2
Author(s): Durgesh Samariya Originally published on Towards AI. Let’s develop a model to predict Titanic’s challenge with Kaggle Source: National Geographic In the last post, we started working on the Titanic Kaggle competition. If you haven’t read that yet, you can read …
The Beginners' Guide to map, zip, and filter Functions in Python
Author(s): Chetan Ambi Originally published on Towards AI. Syntax: Photo by Jude Infantini on Unsplash At first, the usage of map, zip, and filter functions seem intimidating for beginners in Python programming. The goal of this article is to provide you details …
What is Perspective Warping? | OpenCV and Python
Author(s): G SowmiyaNarayanan Originally published on Towards AI. A step-by-step guide to applying a perspective transformation on images Computer vision is all abuzz now. People everywhere are working on some form of deep-learning-based computer vision projects. But before the advent of Deep …
Graphing The SIR Model With Python
Author(s): Joaquin de Castro Originally published on Towards AI. Data Visualization, Programming Graphing and solving simultaneous differential equations to model COVID-19 spread If one good thing has come out of the COVID-19 pandemic, it’s the vast amount of data we have acquired. …
Finding Common Ground: US Presidents State Analysis
Author(s): Aadit Kapoor Originally published on Towards AI. Data Science, Data Visualization Finding common ground: US Presidents State Analysis https://unsplash.com/photos/zfKlCKK-Ql0 Introduction We aim to find any correlation between a US President and its state concerning other Presidents. We use data from different …
Easiest Numpy Guide For Beginners Part-2
Author(s): Prajakta Mogare Originally published on Towards AI. Programming This part is the continuation of the part-1 of my blog. I appeal to you to please go through part-1 for a better understanding of this blog. Easiest Numpy Guide For Beginners Part-1 …
A Quick Introduction to Semantic Clustering for Large Texts
Author(s): Yash Prakash Originally published on Towards AI. Group together documents with similar meaning in a large corpus easily. Photo by Melissa Askew on Unsplash Many times, a simple Natural Language Processing task such as grouping together a large collection of sentences …
What is CLIP (Contrastive Language — Image Pre-training) and how it can be used for semantic image search?
Author(s): Vatsal Saglani Originally published on Towards AI. Photo by Maria Teneva on Unsplash Recently, the researchers at OpenAI published a multi-modal architecture that can be used for 30 different tasks once pre-trained on around 400 million image-text pairs. This methodology isn’t …
Docker + Flask | Dockerizing a Python API
Author(s): Billy Bonaros Originally published on Towards AI. Docker containers are one of the hottest trends in software development right now. Not only it makes it easier to create, deploy and run applications but by using containers you are confident that your …
Let’s Win at 7½ With RL!
Author(s): Alberto Prospero Originally published on Towards AI. Machine Learning How reinforcement learning can be applied to find optimal strategies at 7½ (a game really similar to Blackjack!) Photo by Marin Tulard on Unsplash Introduction “Winner, Winner, Chicken Dinner!”.In the movie 21, …
Helping Bloom E-Commerce Business Using Linear Regression — Python
Author(s): Jayashree domala Originally published on Towards AI. Data Science A guide to understanding and implementing linear regression. Source: Author What is the history of linear regression? In the 1800s, a person named Francis Galton was studying the relationship between parents and …
Grouping Classes Using K-Nearest Neighbors Algorithm — Python
Author(s): Jayashree domala Originally published on Towards AI. Machine Learning A guide to knowing and implementing the KNN algorithm. Photo by Annie Spratt on Unsplash What is the KNN algorithm? It is an algorithm used for classification tasks and works on a …
Code Migration: SAS to Python
Author(s): Vivek Chaudhary Originally published on Towards AI. Programming The objective of this article is to build a fundamental understanding of SAS programming and rewrite the feature in the Python programming language. As a part of the demo, I have to build …
atoti — Build a BI Platform in Python
Author(s): Khuyen Tran Originally published on Towards AI. Data Visualization Get Insights from Your Data with Interactive UI Motivation Have you ever taken 15 minutes or so just to manipulate the data and create a plot in Python? Wouldn’t it be nice …
My Notes On Profiling A Python Microservice Using py-spy And VS Code
Author(s): ___ Originally published on Towards AI. Overview This article is a follow up to my previous article [1] where I walked through my workflow to profile python code using VS Code. The application we wanted to profile was a chatbot and …
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