Analytics Vidhya

Analytics Vidhya is India's largest and the world's 2nd largest data science community.
We aim to help you learn concepts of data science, machine learning, deep learning, big data & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels.

Analytics Vidhya app provides high quality learning resources for data science professionals, data engineers and students who want to study data science and machine learning algorithms, along with codes.

Some of the popular posts on the app

• A Comprehensive Learning Path for Deep Learning in 2019

• The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019

• A Complete Tutorial to Learn Data Science with Python from Scratch

• Essentials of Machine Learning Algorithms (with Python and R Codes)

• An Introduction to Implementing Neural Networks using TensorFlow

• A Complete Guide on Getting Started with Deep Learning in Python

• Tips and Tricks to Ace Data Science Interviews

• 7 Types of Regression Techniques you should know!

• A Complete Tutorial on Ridge and Lasso Regression in Python

• Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)

• Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

• A Simple Introduction to Facial Recognition (with Python codes)

• 30 Questions to test your understanding of Logistic Regression

• A Complete Tutorial on Tree Based Modeling from Scratch in R & Python


• The most comprehensive Data Science learning plan

• 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)

• Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

• Solving Multi-Label Classification problems (Case studies included)

• Understanding Support Vector Machine algorithm from examples (along with code)

• Architecture of Convolutional Neural Networks (CNNs) demystified

• Complete Guide to Parameter Tuning in XGBoost (with codes in Python)

• Practicing Machine Learning Techniques in R with MLR Package

• Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series

Machine Learning and Deep Learning Algorithms:
• Linear and Logistic Regressions
• NaiveBayes
• Neural Networks
• Decision Trees
• Convolutional Neural Networks
• Long Short Term Memory – Recurrent Neural Networks
• SVM (Support Vector Machines)
• Restricted Boltzmann Machines
• Restricted Boltzmann Machines

Learn libraries and