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Efficient Pandas: Using Chunksize for Large Datasets
Author(s): Lawrence Alaso Krukrubo Exploring large data sets efficiently using Pandas Data Science professionals often encounter very large data sets with hundreds of dimensions and millions of observations. There are multiple ways to handle large data sets. We all know about the distributed file …
Stock Price Prediction Model for Netflix
A Comparative Study of Linear Regression, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) Author(s): Vivek Chaudhary The objective of this article is to design a stock prediction linear model to predict the closing price of Netflix. This will be a comparative study …
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