| Title | Description | Links |
|---|---|---|
| zaps | low-code Python wrapper for EDA | repo, docs |
| Title | Description | Links |
|---|---|---|
| werdos | Interface for deployed CNN | repo, demo |
| Beyond Modeling | Example for deploying Machine Learning models using Flask | code |
| Title | Description | Links |
|---|---|---|
| Fighting Fire with Data | Predicting Wildfire burned area in different locations across Zimbabwe | leaderboard, code |
| All of Natural Language Processing | Semantic Search using pre-trained MPNET model for matching questions to their correct answers | leaderboard, code |
| Title | Description | Links |
|---|---|---|
| All of Machine learning | The different methods to calculate Linear regression coefficients | code |
| Mixed Naive Bayes Algorithm | Implementing Naive Bayes algorithm from scratch in Python; A single model for both Categorical & Numeric data | vid, code |
| Identifying and Measuring Risk | Learn about Probability distributions; performing risk assessment and Monte Carlo simulation in Python | vid, code |
| Exploratory Data Analysis Tutorial | Step by step Exploratory Data Analysis tutorial | vid, code |
| Regression Linear Algebra POV | How Linear Regression Model works and the Mathematics behind it | vid, code |
| Statistics For Machine learning | Apply Statistical Inference (Frequentist), test assumptions and draw conclusions | vid, code |
| Assessing Machine Learning Models | Exploring several classification metrics and related interpretations | Accuracy, Recall, Precision, Confusion Matrix, code |
| Natural Language Processing for Fraud Investigations | Processing Emails for leads that would be helpful in a Fraud Investigation - Real Case Study using public data | code |
| Data Visualization | Collection of different data visualization techniques using Seaborn and Matplotlib modules | code |