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5 Python Projects for Data Science Portfolio

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.



5 Python Projects for Data Science Portfolio
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After learning the fundamentals of Python and data science, it is time to put your skills to work and gain experience. These projects will help you develop problem-solving habits. Moreover, it will give you new tools and concepts, and you will understand the end-to-end project life cycle.

In the five projects, we will learn to:

  1. Scrape live yahoo stock prices
  2. Perform data analysis on Instagram post reach
  3. Develop a web app for predicting flight prices
  4. Perform time series analysis and forecasting
  5. Build deep learning ASR model for low-resource language

 

1. Scraping Stock Prices from Yahoo Finance

 

5 Python Projects for Data Science Portfolio
Image from the Project
 

Learn to scrape and clean financial data from Yahoo using various Python libraries. You will be understanding various components of HTML and how to use that information in extracting certain components of a website. Furthermore, you will write functions to parse the raw data, select a few stocks, and export the data as a JSON file.

Web Scraping is the most essential part of data analysts, BI engineers, and data scientist's jobs. You need to understand various Python tools to create scraping scripts or web spiders for a constant stream of live data from various websites.

Project link: How to Scrape Stock Prices from Yahoo Finance with Python

 

2. Instagram Reach Analysis Project

 

5 Python Projects for Data Science Portfolio
Image from the Project
 

Analytical projects are not about creating fancy visualization. It is about understanding the data and explaining it in layman's language. The data scientist has to clean the data, perform statistical analysis, add data visualization charts, explain the visualization to stakeholders in non-technical language, and perform predictive analysis.

In this project, you will analyze the Instagram dataset, use various visualization graphs to explain the patterns and trends, and finally create a simple machine-learning model to predict the reach of an Instagram post.

Project link: Instagram Reach Analysis using Python

 

3. Flight Price Prediction with Flask App

 

5 Python Projects for Data Science Portfolio
Image from the Project
 

In this project, you will clean the data, perform exploratory data analysis, visualize the data to understand the trend of ticket prices, train and evaluate the model, and build model inference using Flask.

If you are a beginner, this is the perfect start you want. You will understand how to handle the data and deploy your machine-learning solution.

Project link: Flight Price Prediction with Flask app

 

4. Time Series Analysis and Forecasting End-to-End Project

 

5 Python Projects for Data Science Portfolio
Image from the Project
 

There is a huge demand for time series analysis and forecasting in the financial market. Companies are developing ways to understand the patterns and trends to avoid disasters and earn more profits for stakeholders.

In this project, you will analyze the data and then visualize the trend to come up with a better strategy for forecasting. After that, you will train and evaluate the ARIMA model and use the predictions to compare past and future trends.

The project goes deep into time-series analysis, and I will highly recommend this project to all final-year students.

Project link: An End-to-End Project on Time Series Analysis and Forecasting with Python

 

5. Automatic Speech Recognition Project

 

5 Python Projects for Data Science Portfolio
Image by Author | Streaming Urdu Asr
 

This is a bit of an advanced project for anyone. It took me two months to understand everything about handling audio data and processing it to create an automatic speech recognition model.

In this project, you will learn to handle and process audio and text data. After that, you will use HuggingFace transformers to build and improve multi-language speech recognition models. Furthermore, you will learn to clean audio and text data and use n-gram language models to improve the WER performance metric.

Project link: Automatic Speech Recognition using Facebook wav2vec2-xls-r-300m

 

Conclusion

 

Learning through projects is necessary. It helps you understand the project lifecycle and prepares you for professional life. Apart from standalone projects, I will highly recommend you to work on open-source projects to get even more exposure to industrial practices and tools.

I hope you like all the projects that I have mentioned, do let me know if you need assistance with a data science and machine learning career.

Follow me on Twitter and LinkedIn, where I post engaging blogs on data science and machine learning.

 
 
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master's degree in Technology Management and a bachelor's degree in Telecommunication Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.