My Most Read Medium Stories
And my posts categorized according to various topics
3 min readFeb 7, 2022
If you appreciated my articles and would like to focus on one or more specific topics, this post will be useful for you. I am going to provide comprehensive tutorials on a range of Data Science topics. Each category has a list of articles, that will help you to save time on your learning journey.
A summary of topics covered until now:
- Programming
- Data Engineering
- Data Visualization
- Statistics
- Web Applications
- NLP
- Web Scraping
- Anomaly Detection
- Pytorch
Programming:
- Recursive Functions with Python
- Explaining Python Classes in a simple way
- Master Class Inheritance in Python
- Master the basics of R programming
Data Engineering:
- How To Deal With Time Series Using Pandas and Plotly Express
- 3 Pandas Functions To Group and Aggregate Data
- Convert Strings to DateTime format in Python
- Mito: A JupyterLab Extension for easy data manipulation with no code
- Feature Engineering for Machine Learning in R
Data Visualization:
- Plotly Express: Interprete data through interactive visualization
- How to transition from Excel to Power BI
- Tableau Tutorial for Beginners
Learn more about Statistics:
Web Applications:
- Web App to Transcribe and Summarize audio with Python
- Web Application to extract topics from audio with Python
- Web Application to Convert a Video to a Gif Using Streamlit
Basics of NLP:
- Text pre-processing in Python
- Bag-of-Words with an Example in Python
- TF-IDF with an Example in Python
- Word Clouds with TF-IDF
Web Scraping:
- Understanding the HTML Basics for Web Scraping
- A Simple Introduction to Web Scraping with Beautiful Soup
- An Intuitive Guide to Web Scraping using Selenium
- Scraping job offers from Glassdoor using Octoparse
Anomaly Detection:
Manage ML Experiments:
- An Intuitive Guide to Track Your ML Experiments with MLflow
- A quick guide for tracking Pytorch Experiments using Neptune.ai
- Three ways to parse arguments in your Python code
- How To Update Your GitHub Repository in Visual Studio Code
Regularization:
- A Comprehensive Guide of Regularization Techniques in Deep Learning
- K-Fold Cross Validation for Machine Learning Models
- A Comprehensive Guide to Image Augmentation using Pytorch
Get started with Pytorch:
About Me
Research fellow at the University of Padova and Freelance writer, focusing on data science, machine learning, artificial intelligence and programming.
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