Working on various Data Science projects is an excellent solution for this. Working on Data Science projects gives you a good understanding and knowledge of key concepts in Data Science, whether you have just completed a Data Science course or have only just begun your Data Science journey. This shows you can really apply data science skills and practical training makes you more confident.
Here are the few projects to build your experience.
Gender and Age Detection
Gender and Age is detection is a machine learning and computer vision project. It utilizes convolutional neural networks or CNN. The project expects to recognize the age and gender of an individual by examining a solitary picture of their face. The gender is delegated male or female and the age is grouped among the different ranges. This project uses a classification model instead of regression.
Chatbots
A chatbot is a popular Data Science project idea among aspiring Data Science professionals and a valuable business asset. Chatbots are used to provide better services to customers while employing fewer people.
Customer Segmentation
Customer segmentation is one of the most important unsupervised learning processes, as well as one of the most straightforward Data Science projects for beginners. For example k-means algorithm.
Fake News Detection
False news is defined as the dissemination of false and inaccurate information via social media platforms. According to a study conducted by MIT, fake news spreads five times faster than real news.
Sales Forcasting
This data set contains the sales for each department from data containing data of available stores, selected holiday markdown events are also included. These markdowns are known to influence sales,however it is trying to foresee which departments are influenced and the degree of effect.
Speech Emotion Recognition
Speech Emotion Recognition SER is an acronym for speech emotion recognition and a very promising Python project. Human emotions are interpreted through the voice in this project.
Character Recognition
This project focuses on the computer’s capacity to perceive and comprehend the characters hand written by humans. A convoluted neural network is trained using the MNIST dataset. This helps the neural network to recognise hand-written digits with reasonable accuracy. This project uses deep learning required keras library.
Hope this will hep you!!
Zeynep.
