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Top 9 Most Essential Python Libraries For Beginners
People worldwide know Python as the most used programming language to date. Major tech companies like Google, Amazon, Meta, Instagram, and Uber use Python for various applications. From web development to machine learning projects, Python is an essential tool in a data scientist’s kit. Many understand... Read more
How to Choose the Right Estimator for Your Machine Learning Task
Model training is an important component of a data science model development pipeline. Choosing the right machine learning algorithm can be a tedious and confusing task for a data scientist. There is no such solution or one approach to pick an estimator that fits all kinds... Read more
6 Trending Python Machine Learning Packages on PyPI
As the most popular programming language for data science, Python packages, frameworks, and libraries are pulled by the millions each month. Month-to-month, Python packages reflect growing trends in the field of data science; as NLP is talked about more often, so will we see more packages... Read more
10 Notable Frameworks for NLP
Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more
Major Updates to the Most Popular Data Science Frameworks in 2019
This time last year we brought you a detailed report of all the important updates for popular data science (machine learning and deep learning) frameworks throughout 2018. The developers of these frameworks continue to innovate at an accelerated rate. Data scientists demand more powerful tools in... Read more
Top 7 Machine Learning Frameworks for 2020
Machine learning is a nightmare without some kind of structure. You can’t build everything from scratch, especially if you’re in a business setting. Even if you want to (and if you do, comment here and tell us about it!), you don’t have time in most cases.... Read more
Watch: Introduction to Machine Learning with Scikit-Learn
Machine learning has become an indispensable tool across many areas of research and commercial applications. From text-to-speech for your phone to detecting the Higgs-Boson particle, machine learning excels at extracting knowledge from large amounts of data. This talk gives a general introduction to machine learning and... Read more
2018 Major Updates to the Most Popular Data Science Frameworks
New data science projects, tools, and frameworks are popping up at a hectic pace.  However, most of us are already using many of the major and most popular ones. Read on and check out major releases of some of the most popular frameworks you may have missed... Read more
The Five Best Frameworks for Data Scientists
There are many tools that can help you when you start your data science career. Some of these tools you will be using them almost in every new project. In this post, we aim to highlight the five best frameworks for data scientists so that you... Read more
Exploring Scikit-Learn Further: The Bells and Whistles of Preprocessing
In my previous post, we constructed a simple cross-validated regression model using Scikit-Learn in 35 lines. It’s pretty amazing that we can perform machine learning with so little effort, but we just did the bare minimum in order to get a working model. Frankly, it didn’t even... Read more