Perceptron from scratch   Deep Learning Contents Perceptron Linearly Separable data Activation function Steps Cost Function Partial Derivatives Update rules Forward Propagation Backward Propagation Predict function Initialize weights and hyper-parameters Training Predict This is the most critical component of neural…

Gradient Descent   Deep Learning Contents What is Gradient Descent Gradient Descent for Linear Regression Math Derivaties Partial Derivatives Gradient Descent for Linear Regression Cost Function Learning Rate Optimize for both Slope and Intercept Stochastic Gradient Descent Mini-batch Gradient Descent…

Neural Network Basics   Deep Learning Contents Basic Structure Biological Neuron Perceptron Sigmoid Neuron Advantage of Sigmoid Neuron over Perceptron Basic Structure A Neural network is an interconnected set of Neurons, arranged in layers. Input goes on one end and…

Hello World in Neural Networks   Deep Learning Contents iris Classification using Tensorflow & Keras Step 1 – What kind of Neural Network are we building ? Step 2 – How are the neurons connected ? Step 3 – Hidden…

R Interview Questions Data Frames How to “merge” data frames in R How do you search/replace text in a data frame How can you add columns to a data frame in R How can you add rows to a data…

Just enough SQL   Machine Learning in Python Contents SQL What is a Database What is SQL SQL Connectors Load Data Selecting Data SELECT Statement Aggregate Functions Table JOINs SQL SQL stands for Structured Query Language. It is the language…