Python tutorials

November 7, 2020 Beginner, Data Science, Deep Learning, Github, Listicle, Machine Learning, NLP, Python, Reddit Leave a comment

The Top GitHub Repositories & Reddit Threads Every Data Scientist should know (June 2018)

Introduction Half the year has flown by and that brings us to the June edition of our popular series – the top GitHub repositories and Reddit threads from last month. During the course of writing these articles, I have learned so much about machine learning from either open source codes or invaluable discussions among the top data science brains in the world. What makes GitHub special is not just it’s code hosting and social collaboration features for data scientists. It […]

November 7, 2020 Beginner, Computer Vision, Data Science, Deep Learning, Github, JS, Listicle, Machine Learning, NLP, Python Leave a comment

The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

Introduction What’s the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Ask any data scientist, and they’ll point you towards GitHub. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. But that’s not all. It acts as a learning tool as well. How, you ask? I’ll give you a hint – open […]

November 7, 2020 Beginner, Computer Vision, Deep Learning, Infographic, Infographics, Listicle, NLP, Python Leave a comment

5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic)

Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic (or technique) clearly. This approach is especially helpful when we’re learning data science initially. Try to implement a neural network from scratch and you’ll understand a lot of interest things. But do you think this is a good idea when building deep learning models on a real-world dataset? It’s definitely possible if you have days or […]

November 7, 2020 Audio, Audio Processing, Intermediate, NLP, Python, Sequence Modeling, Supervised, Technique, Unstructured Data Leave a comment

Learn how to Build your own Speech-to-Text Model (using Python)

Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP is a coveted one in the industry; add this to your skillset today We will use a real-world dataset and build this speech-to-text model so get ready to use your Python skills! Introduction “Hey Google. What’s the weather like today?” This will sound familiar to anyone who has owned a smartphone in the last decade. […]

November 7, 2020 Beginner, Libraries, NLP, Python, Text, Unstructured Data Leave a comment

Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0)

Hugging Face is at the forefront of a lot of updates in the NLP space. They have released one groundbreaking NLP library after another in the last few years. Honestly, I have learned and improved my own NLP skills a lot thanks to the work open-sourced by Hugging Face. And today, they’ve released another big update – a brand new version of their popular Tokenizer library. A Quick Introduction to Tokenization So, what is tokenization? Tokenization is a crucial […]

November 7, 2020 Computer Vision, Intermediate, Machine Learning, NLP, Python Leave a comment

Handling Imbalanced Data – Machine Learning, Computer Vision and NLP

This article was published as a part of the Data Science Blogathon. Introduction: In the real world, the data we gather will be heavily imbalanced most of the time. so, what is an Imbalanced Dataset?. The training samples are not equally distributed across the target classes. For instance, if we take the case of the personal loan classification problem, it is effortless to get the ‘not approved’ data, in contrast to, ‘approved’ details. As a result, the model is more […]

November 6, 2020 Python

Gradient Descent in Python: Implementation and Theory

Introduction This tutorial is an introduction to a simple optimization technique called gradient descent, which has seen major application in state-of-the-art machine learning models. We’ll develop a general purpose routine to implement gradient descent and apply it to solve different problems, including classification via supervised learning. In this process, we’ll gain an insight into the working of this algorithm and study the effect of various hyper-parameters on its performance. We’ll also go over batch and stochastic gradient descent variants as […]

November 6, 2020 Business Analytics, Classification, Intermediate, Machine Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Tapping Twitter Sentiments: A Complete Case-Study on 2015 Chennai Floods

Introduction We did this case study as a part of our capstone project at Great Lakes Institute of Management, Chennai. After we presented this study, we got an overwhelming response from our professors & mentors. Later, they encouraged us to share our work to help others learn something new. We’ve been following Analytics Vidhya for a while now. Everyone knows, it’s probably the largest engine to share analytics knowledge. We tried and got lucky in connecting with their content team. So, […]

November 6, 2020 Advanced, Algorithm, Deep Learning, Machine Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec

Introduction Before we start, have a look at the below examples. You open Google and search for a news article on the ongoing Champions trophy and get hundreds of search results in return about it. Nate silver analysed millions of tweets and correctly predicted the results of 49 out of 50 states in 2008 U.S Presidential Elections. You type a sentence in google translate in English and get an Equivalent Chinese conversion. So what do the above examples have […]

November 6, 2020 Beginner, Business Analytics, Career, Data Science, Deep Learning, Learning Path, Machine Learning, NLP, Python, Statistics Leave a comment

The Ultimate Learning Path to Becoming a Data Scientist in 2018

Introduction So you’ve taken the plunge. You want to become a data scientist. But where to begin? There are far too many resources out there. How do you decide the starting point? Did you miss out on topics you should have studied? Which are the best resources to learn? Don’t worry, we have you covered! Analytics Vidhya’s learning path for 2016 saw 250,000+ views. In 2017, we went even further and saw an incredible 500,000+ views! So this year, we […]

« 1 … 146 147 148 149 150 … 188 »