Data Visualization β An Underrated Art
Author(s): Saiteja Kura Originally published on Towards AI. 1. Data-Ink Ratio It is essential to choose the right one! (Source β Data Science Central) Raise your hands if you ever came across the terms data visualization and data visualization tools like Tableau …
Ensure Success of Every Machine Learning Project
Author(s): Mukul Malik Originally published on Towards AI. Computational level: -by geek-and-poke.com under CC-BY-3.0 Machine Learning projects can convince even an atheist that βthe devil is in the detailβ. Allegedly, a report from Gartner predicted that 85% of the Machine Learning projects …
9 ???? Object Detection Datasets
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by Jimmy Chang on Unsplash Starter code Available using Monk Libraries In this article, I am going to share a few datasets for Object Detection. Starter code is provided in Github and …
Stop the Stopwords using Different Python Libraries
Author(s): Manmohan Singh Originally published on Towards AI. Source: Pixabay.com Alphabet letters are building blocks for words in the English language. These words group together to form a sentence by following grammatical rules. Because of grammatical reasons, some words occur more frequently …
21 Words About Knowledge, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 2nd part of a series. Make sure you read about Search Algorithms before continuing. Future topics include Uncertainty, …
Deep Learning in Enterprise for Team Members
Author(s): Ali S. Razavian Originally published on Towards AI. Deep Learning Photo by John Schnobrich on Unsplash In this article, Iβm trying to address some of the strategic mistakes that development teams do in industry and try to come up with a …
What? How? Why? β In the World of Data Science!
Author(s): Deepak Sekar Originally published on Towards AI. In this article, we will see the three things that matter the most in the Data Science Process What β What is the Business requirement? What are the data sources and features? What is …
Linear Regression from Scratch
Author(s): Nunzio Logallo Originally published on Towards AI. Photo by William Daigneault on Unsplash If you started to learn data science or machine learning, you have also heard about linear regression, but what is it and when should we use it? Linear …
Predicting Sales using R programming
Author(s): Suyash Maheshwari Originally published on Towards AI. In this article, I will forecast the sales of a multinational retail corporation. The dataset for this can be found on Kaggle. We have been provided with weekly sales data on which we train …
How and Why to Implement Stemming and Lemmatization from NLTK
Author(s): Manmohan Singh Originally published on Towards AI. In this article, we try to solve one of NLPβs problems by implementing Stemming and Lemmatization Source: pixxabay.com The English language has more than a million words in its vocabulary. Around 170k are in …
5 Different Ways to Build ML Models!
Author(s): Deepak Sekar Originally published on Towards AI. We have come across data science platforms and ML offerings targeted for expert audiences who have Python/ R/ Matlab..etc skills and who understand algorithms/ kernels..etc. But, what if people who understand data very well …