Principal Component Analysis
Hello guys, it’s been 3 months since my last post in Machine Learning. I’ll admit that I am a little bit rusty nowadays. Because of my interviews in some com...
Introduction Neural Network
You can import the library:
MNIST with Multilayer Perceptron
In this postwe will build out a Multi Layer Perceptron model to try to classify hand written digits using TensorFlow (a very famous example).
Introduction Neural Network
Artificial Neural Network (ANN) is a computational model that is inspired by the way biological neural networks in the human brain process information. Artif...
Introduction Spark
Let’s learn how to use Spark with Python by using the pyspark library! Make sure to view the video lecture explaining Spark and RDDs before continuing on wit...
Natural Language Processing with NLTK
Natural Language Processing (NLP) is broadly defined as the automatic manipulation of natural language, like speech and text. Natural language is primarily ...
NLP Project
Welcome to the NLP Project for this section of the course. In this NLP project you will be attempting to classify Yelp Reviews into 1 star or 5 star categori...
Movie Recommender System Analysis
Welcome to the code notebook for Recommender Systems with Python. In this lecture we will develop basic recommendation systems using Python and pandas. There...
Dimensionality Reduction
The performance of machine learning algorithms can degrade with too many input variables. Having a large number of dimensions in the feature space can mean t...
K Means
Clustering is a technique widely used to find groups of observations (clusters) that share similar characteristics. This process is not driven by a specific ...
