Focus a Carrer Through Hackathons Towards Your Dream Company
Introduction
Dive into the world, scrap your records, start your analysis, build your data science profile, and bloom as a budding Data Scientists. When you start to drive towards your own analysis, data science hackathons become a Jobathon for you to assure career victory. In the current era, data science gets booming as of previous years. That itself proves the necessity of full-stack individuals to the stream of data science and its various fields like machine learning, analytics, deep learning, and many more.
Data science hackathons enable you to compete with leading data scientists and machine learning experts in the world. So, this would be your opportunity to work on real-life data science problems, improve your skillset, learn from expert data science and machine learning professionals, and hack your way to the top of the hackathon leader board. You also stand a chance to win prizes and get a job at your dream data science company through these hackathons. But apart from all of these we should get to know what are the various opportunities and from where we can access the hackathons platforms. By analyze and realize the opportunities get into it and explore your knowledge to acquire the world of data science in real-time. Along with the skillset, every aspirant should complete certain projects using the available data sources to grab and understand the fundamental knowledge in the same. So here we are introducing the various data science hackathon platforms and basic projects that a budding data scientist should explore.
Best Projects for Budding Data Scientists
Basic:
- Fake News Detection (Python & Machine Learning)
- Colour Detection with Python (OpenCV and Pandas)
- Gender and Age Detection with Data Science (Computer Vision, OpenCV, CNN)
Intermediate:
Chatbot Project in Python (Python, Keras, and Natural language processing (NLTK))
- Driver Drowsiness detection in Python (Deep Learning, OpenCV & Keras)
Advanced:
- Movie Recommendation System (Deep Learning, Python)
Comparison on Hackathon Sites
