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What is Machine Learning? This is an introduction to machine learning to begin the python machine learning tutorial series.

We are starting an Natural Language Processing tutorial for beginners series in Python. This will be the first episode in season 1.

FastAPI is a Python based web framework that allows you to write backend server in a matter of minutes. It can be used as a ...

Recursion in Python: This video provides a very simple explanation of recursion such that even a high school student can ...

An end to end NLP project consists of many steps. These steps together forms an NLP pipeline. The pipeline has various stages ...

In this video we will understand how K nearest neighbors algorithm work. Then write python code using sklearn library to build a ...

RNN or Recurrent Neural Network are also known as sequence models that are used mainly in the field of natural language ...

Bias variance trade off is a popular term in statistics. In this video we will look into what bias and variance means in the field of ...

5 Essential end to end data science projects for a data scientist resume. 3 of these projects are machine learning projects and 2 of ...

Simple explanation of A/B Testing Such that even a high school student can understand it easily Do you want to learn technology ...

Cosine similarity, cosine distance explained in a way that high school student can also understand it easily. If you have ...

Selection sort is a simple algorithm for sorting, it gives o(n^2) BIG O complexity. In this video we will go over some theory behind ...

To be a better programmer, learning just the syntax of coding is not enough. One needs to have solid logic building or thinking ...

YOLO (You only look once) is a state of the art object detection algorithm that has become main method of detecting objects in the ...

In this Python machine learning tutorial for beginners, we will look into, 1) What is overfitting, underfitting 2) How to address ...

LSTM or long short term memory is a special type of RNN that solves traditional RNN's short term memory problem. In this video I ...

Machine learning models don't understand words. They should be converted to numbers before they are fed to RNN or any other ...

A very simple explanation of word2vec. This video gives an intuitive understanding of how word2vec algorithm works and how it ...

In this video I discuss top 8 skills that you need to get a data analyst job. These are the skills that will make you successful data ...

Stemming and lemmatization are two popular techniques to reduce a given word to its base word. Stemming uses a fixed set of ...