5 Machine Learning Projects on GitHub for Beginners & Professionals


5 Machine Learning Projects on GitHub for Beginners & Professionals

Today, machine learning, the study of algorithms that make data-based predictions,has found a new audience and a new set of possibilities.GitHub has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding.

The world’s leading tech companies open-source their projects on GitHub by releasing the code behind their popular algorithms. Technology is advancing rapidly, and computational costs are lower than ever, so organizations are hiring skilled professionals with proper machine learning training.

Here are the top 5 machine learningprojects on GitHub:

1. Neural Classifier (NLP)

Multi-label classification of text data is somewhat a challenge for the real world. We usually work on single label tasks when we’re dealing with early-stage NLP problems. The level increases several notches on real-world data.Neural Classifier enables us to implement neural models for hierarchical multi-label classification tasks quickly. Neural Classifier provides a wide variety of familiar text encoders such as Fast Text, RCNN, Transformer encoder, and so on.Machine learning training in Bangalorehelps yougain knowledge of such an industry-based skillset.

2. TDEngine

TDEengine is an open-source Big Data platform created forthe Internet of Things (IoT), Connected Cars, Industrial IoT and IT Infrastructure.Itmainly provides a whole suite of chores that are associated with data engineering. TDEngine source received the most stars of any new project on GitHub recently.

3. Video Object Removal

Computer Vision procedures for manipulating and dealing with images are quite advanced. Object detection for images is considered an essential step to becoming a computer vision expert.The difficulty level goes up rapidly when you have to draw bounding boxes around objects in videos. The dynamic aspect of objects makes the entire concept complex. However, in a GitHub repository, you need to draw a bounding box around the object in the video to remove it. Machine learning training is the best way to acquire such complex model building skills.

4. fasText by FacebookResearch

fastText is an open-source and free library by FacebookResearch for cost-effective learning of word representations. It is lightweight and allows you to understand text representations along with sentence classifiers. You can reduce models in size to even fit on mobile devices.It is beneficial for NLP enthusiasts. You can learn NLP to begin your career withmachine learning training or data science training in Bangalore.

5. Awesome-Tensorflow

It is a collection of resources that help you understand and utilize TensorFlow. The GitHub platform contains a curated list of awesome TensorFlow experiments, libraries, and projects.TensorFlow is an end-to-end open-source program for machine learning by Google. It has an extensive ecosystem of tools, libraries and community resources that lets researchers create the state-of-the-art in ML. Using it, developers can quickly build and deploy ML-powered applications.

A data engineer is expected to know the ins and outs of infrastructure components, such as virtual machines, networks and application services. You can apply for data science training in Bangaloreif you are interested in building a career in the futuristic field.

Institutions such a Jigsaw Academy provide machine learning training in Bangalore, which includes a comprehensive analytics education with a combination of online and in-person sessions and projects by industry leaders and hands-on learning. Jigsaw Academy offers a postgraduate program in data science and machine learning in association with the University of Chicago’s Graham School. The course ranked #2 among the Top 10 Full-Time Data Science Courses in India, 2019.

Before you build a model, the data is prepared and made ready for exploration, even before the role of a data scientist begins; this is where data engineers come into thepicture. Data engineers are a vital part of any data science project, and their demand is on the rise. Start your career with adata science training in Bangalore and achieve your dream job role.