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Innovative Data Science Project Ideas For 2020
With the growing prominence of Data Science, a number of people have started developing skills in this field. To sustain in this growing competition & to secure a career in the field of Data Science, one needs to build a strong project portfolio in his/her profile. If you are a fresher in Data Science, then the best practice that could ensure on developing technical skills in this field is by working on multiple projects in real-time.
Now, let’s look at some of the innovative project ideas in Data Science 2020.
- Character Recognition
The primary focus of this project is to design a system that has the ability to recognize and understand the hand-written characters. Handling this project requires skills in convoluted neural networks. You need to train the neural networks & Deep Learning to recognize the words which are specifically hand-written with MNIST dataset.
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Chatbots have developed a lot of popularity in the recent time & are extensively being used as automated customer support agents in business. To design a Chatbot, you need to have extensive knowledge of NLP, Recurring Neural Networks & Deep Learning techniques. The datasets that are used in the Chatbots consists of a detailed list of vocabulary, a list of common sentences for which they should be delivering relevant responses. You shouldn’t be finding any difficulty to develop a Chatbot if you are very much comfortable in coding using Python.
- Fake News Detection
The prime focus of this project is to develop a system that is capable of detecting fake news across different. Working on this project requires extensive knowledge of algorithms in Machine Learning & this model can be build by using TfidfVectorizer, and a passive-aggressive classifier.
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Kumar Raja is a multidisciplinary writer, and lifelong learner. He’s a Digital Marketer in the making who spends his time analyzing the developments in the tech world. He’s very passionate about helping people understand the latest trends in the tech world through his well-researched articles. He’s able to condense complicated information about the latest technologies into easily digestible articles.