5 Awesome Machine Learning Portfolio Projects With Source Code

Looking for a job or want to excel in Machine Learning as a student? Then, this list of awesome Machine Learning portfolio projects with source code will definitely help you!

Learn to perform text generation for creating automatic blog posts using the GPT-2 pre-trained model in just 3 lines of code with Python.

GPT-2 is a large transformer-based Machine Learning model created by OpenAI with 1.5 billion parameters and trained on a dataset of 8 million web pages. It is trained with a simple objective: predict the next word, given all of the previous words within some text.

Learn to perform language translation using the transformers library from Hugging Face in just 3 lines of code.

The transformers Python library provides thousands of pre-trained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation, and more in over 100 languages. Its aim is to make cutting-edge NLP easier to use for everyone.

Learn to perform semantic and instance segmentation on videos with few lines of code using PixelLib in Python.

Learn to perform Face Mask Detection using Python and Machine Learning in this episode of Kaggle Tutorials brought to you by The Click Reader.

The overarching objective of the project is quite simple: Given an input image, a face mask detection model should be able to detect if a person is wearing a face mask or not with a good amount of accuracy.

Learn to perform sentiment analysis using the transformers library from Hugging Face in just 3 lines of code with Python and Deep Learning.

Sentiment analysis is the process of determining whether a piece of writing is positive, negative, or neutral. This kind of analysis is very helpful when trying to extract insights from product or service reviews, customer feedbacks, and much more.

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