Master Generative AI with 10+ Real-world Projects in 2025!
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
This article comprises of free books, ipython notebooks, tutorials on github. This is useful for beginners in machine learning, data science
A beginners guide to shelf space optimization in retail using linear programming, explained with examples using simplex method, python & greedy algorithms.
This article provides questions and answers to skill test "Data Science in Python". Topics include Pandas, exploratory data analysis, regular expressions
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
An introduction to deep learning in python. In this article learn about python libraries, additional resources and a complete guide on Deep Learning.
Learn about topic modeling and its applications in natural language processing to uncover valuable trends from large volumes of text.
This tutorial explains data science at the command line with python and R to build models including data visualization, exploration and machine learning.
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
This case study is based on Chennai Floods 2015 and measures people's sentiments during he floods by analyzing the response on twitter.
Edit
Resend OTP
Resend OTP in 45s