More articles in Intermediate

DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.

16 OpenCV Functions to Start your Computer Vision journey (with Python code)

An introduction to computer vision and use of opencv functions in it. Here is the list of opencv functions for computer vision projects with python codes.

Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)

This article presents an infographic to 11 steps for transitioning from Business Intelligence (BI) and MIS to data science.

8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP)

This article contains some pretrained models to get started with natural language processing. This NLP pretrained model helps you to learn deep learning.

An Awesome Tutorial to Learn Outlier Detection in Python using PyOD Library

PyOD is an awesome outlier detection library. In this article learn what is outlier and how to use PyOD library for outlier detection in Python.

Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library

Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!

Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

The top 5 data science GitHub repositories and Reddit discussions from January 2019. It includes links to awesome NLP and computer vision libraries.

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)

StanfordNLP is a collection of pre-trained state-of-the-art models. This tutorial is an introduction to Stanford NLP in Python and its implementation.

How Coursera uses Data Visualization and Clustering to Categorize Content

In this article, Coursera's engineering team explains how they categorize their content (courses) using data visualization and clustering.

DataHack Radio #16: Kaggle Grandmaster SRK’s Journey and Advice for Data Science Competitions

Who better to learn data science tips and tricks from than a Kaggle grandmaster? Join SRK as he provides invaluable advice for all data scientists!