Free Resources

Complete Python script for cleaning, normalizing, and preparing datasets for ML models

Functions for calculating accuracy, precision, recall, F1-score, and confusion matrix

Reusable TensorFlow/Keras CNN template for image classification tasks

FastAPI/Flask template for deploying ML models as REST APIs

Quick reference for data manipulation, filtering, grouping, and aggregation

When to use which ML algorithm with pros, cons, and use cases

Visual guide to CNN, RNN, LSTM, Transformer architectures

Essential Git commands for version control and collaboration

Step-by-step guide from data collection to model deployment

Complete tutorial series on neural networks and deep learning

Create stunning visualizations using Matplotlib, Seaborn, and Plotly

Best practices for model deployment, monitoring, and maintenance

Professional folder structure and boilerplate for ML projects

Pre-formatted notebook with sections for EDA, modeling, and evaluation

Comprehensive template for documenting ML models and experiments

ATS-friendly resume template for ML/Data Science roles