Machine Learning for Android

This FREE app will help you to understand Machine Learning Programming Language properly and teach you about how to Start Coding using Machine Learning. Here we are covering almost all references. The sequential tutorial let you know from basic to advance level.

Data Science 101 is an educational app to learn machine learning algorithms. Due to data science and artificial intelligence, new technologies are emerging and there is need for more specialization in this field.

This app is a beginner guide for anyone who wants to study data science and make their own machine learning models.

This app provides high quality resources for students to study data science and machine learning algorithms and also provides required code.

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