OpenCV 101 and Instagram Filters
Author(s): Rahul Banerjee This tutorial will be a basic introduction to OpenCV and some basic Instagram filters. Continue reading on Towards AI » Published via Towards AI …
Outlier Detection and Treatment: A Beginner’s Guide
Author(s): Swetha Lakshmanan 8 ways to identify and treat outliers in your data-set using python. Continue reading on Towards AI » Published via Towards AI …
Building a Basic Web Text Scraper with Scrapy
Author(s): Esteban Villa-Turek How to extract text data from the web? Continue reading on Towards AI » Published via Towards AI …
Linear Regression
Author(s): Charanraj Shetty OLS and Gradient Descent Continue reading on Towards AI » Published via Towards AI …
The Solution to a Data Science Problem is not Unique
Author(s): Benjamin Obi Tayo Ph.D. Solution to a data science problem depends on expertise and experience of the data science aspirant, hence no two solutions are the same Continue reading on Towards AI » Published via Towards AI …
Python Data Structures Data-types and Objects
Author(s): Amit Chauhan Handy concepts on class objects in python Continue reading on Towards AI » Published via Towards AI …
This AI takes a video and fills the missing pixels behind an object!
Author(s): Louis (What’s AI) Bouchard Video Inpainting — Microsoft Research Continue reading on Towards AI » Published via Towards AI …
Different Feature Selection Techniques
Author(s): Abhay Parashar Finds The Best Features For Modeling Continue reading on Towards AI » Published via Towards AI …
Streamlit – Revolutionizing Data App Creation
Last Updated on November 9, 2020 by Editorial Team Author(s): Shubham Saboo Data Science, Programming An elegant and efficient framework to build and share data apps within minutes. Before starting let's get the fact straight — Every Data Scientist isn’t a good frontend engineer. But …
Principal Component Analysis (PCA) with Python Examples — Tutorial
Source: Derivative from original by Radek Grzybowski on Unsplash An in-depth tutorial on principal component analysis (PCA) with mathematics and Python coding examples Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. …
Predicting Heart Disease using Machine Learning? Don’t!
Author(s): Venkat Raman Machine Learning, Opinion Source: Unsplash I was recently invited to judge a Data Science competition. The students were given the ‘heart disease prediction’ dataset, perhaps an improvised version of the one available on Kaggle. I had seen this dataset …
Automated Rationale Generation: Moving Towards Explainable AI
Author(s): Shreyashee Sinha Artificial Intelligence Photo by Ben Neale on Unsplash With the advent of AI, it has become imperative for the progression of a parallel field, Explainable AI (XAI), to foster trust and human-interpretability in the workings of these intelligent systems. These …
How To Get Programming Project Ideas
Author(s): Catalin Pit Do you want to build projects, but you struggle to get programming project ideas? Do you wonder how you could get some ideas? In this… Continue reading on Towards AI » Published via Towards AI …
Building Complex Image Augmentation Pipelines with Tensorflow
Author(s): Dimitre Oliveira Source: https://www.kaggle.com/docs/tpu Using the Tensorflow data module to build a complex image augmentation pipeline. If you want to train your models with Tensorflow in the most efficient way you probably should use TFRecords and the Tensorflow data module to build your pipelines, but depending …
Natural Language Processing: Concepts and Workflow
Author(s): Bala Priya C Photo by Amador Loureiro on Unsplash With the huge influx of unstructured text data from a plethora of social media platforms , different forums and a whole wealth of documents, it’s evident that processing these sources of data to distill the information that they …
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