Are you looking to enhance your machine-learning skills and strengthen your portfolio? One of the most effective ways to achieve this is by working on advanced machine-learning projects.
These projects not only provide you with hands-on experience but also demonstrate your ability to solve complex problems. In this article, we will explore six advanced machine-learning projects that can give your resume a significant boost.
1. Predicting mRNA Degradation using the Deep Learning Model
The mRNA Degradation project is a regression problem that involves predicting degradation rates to aid in the design of stable vaccines.
By working on this project, you will gain experience in solving regression problems using complex 3D data manipulation and deep-learning GRU models. The goal is to predict five targets: reactivity, deg_Mg_pH10, deg_Mg_50C, deg_pH10, and deg_50C.
2. Automatic Image Captioning
Automatic Image Captioning is an essential project to include in your portfolio. This project involves building a model that can generate captions describing the content of an image.
You will learn about computer vision, CNN pre-trained models, and LSTM for natural language processing. To showcase your results, you can build an application using Streamlit or Gradio.
3. Stock Price Forecasting using Deep Learning
Stock Price Forecasting is a popular project idea that involves predicting the future prices of stocks using deep learning techniques. This project requires an *understanding of time series data analysis, data handling, pre-processing, and neural networks. *
You will learn about seasonality, trends, and daily fluctuations in stock prices. By accurately predicting stock prices, you can potentially help companies make informed investment decisions.
4. Self-Driving Car Project
Including a self-driving car project in your portfolio can significantly enhance your chances of getting hired. This project demonstrates your problem-solving skills and your willingness to tackle complex machine-learning tasks.
You will train the Proximal Policy Optimization (PPO) model in the OpenAI Gym environment (CarRacing-v0). Before starting the project, **it is crucial to learn the fundamentals of Reinforcement Learning. **Throughout the project, you will experiment with different models and methodologies to improve the performance of the agent.
5. Conversational AI Bot
Building a Conversational AI Bot is not only a fun project but also a valuable addition to your portfolio. By working on this project, you will gain experience with Hugging Face Transformers, Facebook Blender Bot, and creating chatbot interfaces.
You can choose a specific use case for your chatbot, such as a medical application that requires technical knowledge and understanding of patient sentiment. The Hugging Face library offers a wide range of pre-trained models and datasets, making it easier to customize your chatbot.
6. Automatic Speech Recognition
Automatic Speech Recognition is an exciting project that involves transcribing spoken language into written text. By fine-tuning the Wav2Vec2 model, you can improve the accuracy of speech recognition for different languages. This project requires an understanding of transformers, audio data handling, and improving model performance.
Remember, while mastering these projects can be a serious boost for your career, don't forget to have fun along the way! Experiment, and most importantly, celebrate your victories - big or small. So, grab your favorite coding snack, fire up your IDE, and embark on this exciting machine-learning adventure.
Happy coding, and may your algorithms be ever in your favor!
Also if you are looking to upskill in machine learning then check out Full Stack ML Masters Program.
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