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 …
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 …
Checking the Sentiment of a Tweet Using Machine Learning
Author(s): Saikat Biswas Originally published on Towards AI. Image Source: Unsplash Letβs see some tweets and classify them as positive or negative sentiment When we hear the word Twitter, what does it ring to our ears? Well, for some, its a source …
Letβs see the sales in a Big Mart Store
Author(s): Saikat Biswas Originally published on Towards AI. Image by Anastasia Dulgier on Unsplash Predicting the sales of each product in a particular store We as Data Analysts and Data Science Practitioners are often challenged to predict the factors that have an …
Marketing Analytics (Part 1)
Author(s): Mishtert T Originally published on Towards AI. Simple Linear Regression Customer Lifetime Value (CLV) In marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or lifetime value (LTV) is a prediction of the net profit attributed to the …
Chest X-Ray Based Pneumonia Classification
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Monk Library U+1F4CCMonk is an opensource low-code tool for computer vision and deep learning. Monk …
Knowledge Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. Photo by chuttersnap on Unsplash In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, 4 Graph Neural Networks, and When GraphSAGE meets Pinterest. In this article, I introduce …
The Small Data Revolution needed for Small Businesses
Author(s): Richa Verma Originally published on Towards AI. While big data is disrupting enterprises, how can small data with new-age technologies of machine learning, artificial intelligence, etc. disrupt small businesses? Read along! Photo by Stephen Dawson on Unsplash Rahul (name changed) is …
How to Deal with Major Challenges in Machine Learning
Author(s): Siddhesh Jadhav Originally published on Towards AI. Best practices for all the common challenges in every step of machine learning problem Photo by bady qb on Unsplash We often get blocked at different steps while working on a machine learning problem. …