Getting started with data science
October 20, 2025Learn: What data science is and what data scientists actually do, common project types, data cleaning and analysis, how to create browser native visualizations....
Read more →Articles
Explore a collection of articles covering topics on data science. Each post shares insights, tutorials, and development updates to help you learn and stay inspired.
Python for data science
October 20, 2025Learn: Python syntax & data types, loops, functions, Jupyter Notebook and VS Code, Python Libraries: numpy, pandas, matplotlib...
Read more →Data cleaning and manipulation
October 20, 2025Learn: Data cleaning & manipulation using Python and pandas library....
Read more →Data Visualization in Python
October 20, 2025Learn data visualization in Python with Matplotlib or Seaborn and understand how to tell a story with charts....
Read more →Introduction to Statistics and Probability
October 20, 2025Learn the basis of statistics and probability, events, distributions, correlation vs causation....
Read more →Introduction to Machine Learning
October 20, 2025Learn Machine Learning, Supervised Learning, Unsupervised Learning, Train-Test Split, Evaluation Metrics: accuracy, precision and recall....
Read more →Supervised Learning
October 21, 2025Learn Supervised Learning, linear regression, logistic regression, decision trees, random forests, k-nearest neighbors, support vector machines and their use ca...
Read more →Unsupervised Learning
October 21, 2025Learn Unsupervised Learning, K-Means Clustering, Dimensionality Reduction (PCA) and their use cases with Python examples....
Read more →Model Evaluation and Improvement
October 21, 2025Learn Cross-Validation, Hyperparameter Tuning (GridSearchCV), Overfitting and Underfitting....
Read more →Feature Engineering
October 21, 2025Learn Feature Engineering, Scaling Data, Encoding Categorical Data, Transforming Data, Selecting Important Features with Python examples....
Read more →Deep Learning
October 21, 2025Learn Deep Learning, Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transfer Learning with Python examples....
Read more →Natural Language Processing
October 21, 2025Learn Natural Language Processing (NLP), Tokenization, Word Embeddings, Sentiment Analysis, Text Classification with Python examples....
Read more →Data Engineering Basics
October 21, 2025Learn Data Engineering Basics, Databases, Big Data Tools, Cloud Services....
Read more →Model Deployment
October 21, 2025Learn How to deploy a model, Building APIs with Flask or FastAPI, Deploying Models with Streamlit, Saving and Loading Models with Joblib with Python examples....
Read more →MLOps & Real-World Projects
October 21, 2025Learn MLOps, Versioning Data and Models, Monitoring Deployed Models, Automation Pipelines....
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