Repository that contains all the data science posts I wrote on Medium and the corresponding code.
A summary of topics covered until now:
- Programming
- Data Visualization
- SQL
- Pytorch
- MLOps
- Regularization
- Web Apps
- Data Engineering
- NLP
- Anomaly Detection
- Visual Anomaly Detection
- Statistics
- Dimensionality Reduction
- Web Scraping
- Reinforcement Learning
- Geospatial Data Analysis
- Data Science Portfolio
- Generative AI
| Title | Article | Repository |
|---|---|---|
| A friendly Guide for writing Recursive Functions with Python | ✏️ | 🐱 |
| Explaining Python Classes in a simple way | ✏️ | |
| Master Class Inheritance in Python | ✏️ | |
| Master the basics of R Programming | ✏️ |
| Title | Article | Repository |
|---|---|---|
| Plotly Express: Interprete data through interactive visualization | ✏️ | 🐱 |
| How to transition from Excel to Power BI | ✏️ | |
| Tableau Tutorial for Beginners | ✏️ |
| Title | Article | Repository |
|---|---|---|
| An Intuitive Guide to Integrate SQL and Python for Data Science | ✏️ | 🐱 |
| An Introduction to Common Tables Expressions in SQL | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| Pytorch Tutorial for Beginners | ✏️ | 🐱 |
| Manipulating Pytorch Datasets | ✏️ | |
| Understand Tensor Dimensions in DL models | ✏️ | |
| CNN & Feature visualizations | ✏️ | 🐱 |
| Hyperparameter tuning with Optuna | ✏️ | 🐱 |
| K Fold Cross Validation | ✏️ | 🐱 |
| Convolutional Autoencoder | ✏️ | 🐱 |
| Denoising Autoencoder | ✏️ | 🐱 |
| Variational Autoencoder | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| An Intuitive Guide to Track Your ML Experiments with MLflow | ✏️ | |
| A quick guide for tracking Pytorch Experiments using Neptune.ai | ✏️ | |
| How to deploy your ML model using DagsHub+bentoML+AWS Lambda | ✏️ | 🐱 |
| How to deploy your ML model using DagsHub+MLflow+AWS SageMaker | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| 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 | ✏️ | 🐱 |
| Albumentations: A Python library for advanced Image Augmentation strategies | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| Building a Web Application to Convert a Video to a Gif Using Streamlit | ✏️ | 🐱 |
| How to build a Web App to Transcribe and Summarize audio with Python | ✏️ | 🐱 |
| Creating a Web Application to extract topics from audio with Python | ✏️ | 🐱 |
| Building a Web Application to detect Breast Cancer in Ultrasound images | ✏️ | 🐱 |
| How to build a Shazam-like Telegram Bot using Python | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| My Pandas Cheatsheet for Exploratory Analysis and Data Manipulation | ✏️ | |
| 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 | ✏️ |
| Title | Article | Repository |
|---|---|---|
| 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 | ✏️ | 🐱 |
| Topic Modeling for E-commerce Reviews using BERTopic | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| Anomaly Detection With Isolation Forest | ✏️ | 🐱 |
| Interpretation of Isolation Forest with SHAP | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| Paper Review: Reconstruction by inpainting for visual anomaly detection | ✏️ | |
| GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training | ✏️ | 🐱 |
| CFA Paper Review: a novel AD approach that exploits pre-trained CNNs and transfer learning | ✏️ |
| Title | Article | Repository |
|---|---|---|
| Master the basics of R programming | ✏️ | |
| Generalized Additive Models | ✏️ | 🐱 |
| An intuitive introduction to Boxplots | ✏️ | |
| An introduction to Probability Sampling Methods | ✏️ | |
| An introduction to non-Probability Sampling Methods | ✏️ | |
| Top 15 Probability and Statistics Interview Questions for Data Scientists | ✏️ |
| Title | Article | Repository |
|---|---|---|
| Variable Reduction with Principal Component Analysis | ✏️ | |
| Implementing PCA from Scratch | ✏️ | 🐱 |
| How to perform LDA in Python with Sklearn | ✏️ | 🐱 |
| What Is the Difference Between PCA and LDA? | ✏️ |
| Title | Article | Repository |
|---|---|---|
| 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 | ✏️ | |
| Web Scraping Greenhouse Gas data from Wikipedia using Octoparse | ✏️ | |
| Build your own dataset of images for Deep Learning using Octoparse | ✏️ |
| Title | Article | Repository |
|---|---|---|
| Acrobot with Deep Q-Learning | ✏️ | |
| Deep Q-network with Pytorch and Gym to solve the Acrobot game | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| A Practical Introduction to Geospatial Data Analysis using QGIS | ✏️ | |
| A comprehensive guide for getting started with OpenStreetMap | ✏️ | |
| Geospatial Data Analysis with GeoPandas | ✏️ | 🐱 |
| Geospatial Data Analysis with OSMnx | ✏️ | 🐱 |
| Geospatial Data Analysis with Geemap | ✏️ | 🐱 |
| Title | Article | Repository |
|---|---|---|
| How to create a strong Data Science Portfolio for free | ✏️ |
| Title | Article | Repository |
|---|---|---|
| Free From Google: Generative AI Learning Path | ✏️ | |
| How to Use ChatGPT to Improve Your Data Science Skills | ✏️ | |
| OpenAI’s Whisper API for Transcription and Translation | ✏️ | |
| Using LangChain and ChatGPT to explain Python Code | ✏️ | 🐱 |
| Use LangChain to Extract a Dictionary from Text | ✏️ | 🐱 |
| How to Improve RAG Performance: 5 Key Techniques with Examples | ✏️ | 🐱 |