India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Reading books on data science and machine learning is useful to understand the concepts. Here is the list of books for data scientists on r and python.
Winners approaches from knocktober a machine learning challenge. Feature engineering, XGBoost, python,R,RandomForest,GBM & logistics regression ruled.
Learn how to create dataframes in Pyspark. This tutorial explains dataframe operations in PySpark, dataframe manipulations and its uses.
Winning approach & tips from Sudalai Rajkumar, Rohan Rao & Steve Donoho. To help participants improve their strategies for ML competitions
This article features youtube videos on machine learning tutorial for beginners. Also discover courses on machine learning and how machine learning is used.
An introduction to Shiny App and data visualization using this app in R. It contains detailed explanations in UI.R and Server.R along with codes.
Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Rohan Rao shared insights about his journey, analytics career & his approach in Machine Learning competition. He shared techniques he uses in competitions.
Ultimate Student Hunt - a machine learning competition challenged students on real life machine learning problem & data science community
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
Edit
Resend OTP
Resend OTP in 45s