CodeStips

Machine Learning

Installing Libraries with Conda

Libraries & Frameworks

Conda manages both Python and non-Python dependencies, making it ideal for data science, scientific computing, and machine learning projects. It simplifies library installation and environment management.

Installing PyTorch for AI Projects

Machine Learning & AI

Get PyTorch installed for AI development with this guide covering system requirements, different installation methods, and setup tips.

Installing scikit-learn for Machine Learning

Machine Learning & AI

Scikit-learn is a key Python machine learning library. Learn the best ways to install it for your system to start building models efficiently.

Linear Regression Explained

Machine Learning & AI

Linear regression is a simple machine learning tool that finds a best-fit straight line to make predictions based on observed data patterns.

Logistic Regression Explained

Machine Learning & AI

Logistic regression is a classification algorithm used to predict binary outcomes. It's simple, interpretable, and widely applied for tasks like spam detection and medical diagnosis.

Model Deployment Using FastAPI

Machine Learning & AI

Learn how to deploy machine learning models using FastAPI, a high-performance Python framework. Ideal for web, mobile, or programmatic access with simplicity and speed.

Model Deployment Using Flask

Machine Learning & AI

Learn to deploy machine learning models using Flask, from environment setup to making API predictions, making AI integration simple and accessible.

Object Detection in Python

Machine Learning & AI

Object detection enables computers to identify and locate multiple objects in images, essential for applications like surveillance, autonomous vehicles, and more.

Overfitting and Underfitting in ML

Machine Learning & AI

Overfitting occurs when a model learns training data too well, including noise, making it perform poorly on new data. Underfitting happens when a model fails to capture patterns in the data, resulting in poor performance overall.

Python Libraries for Machine Learning Projects

Libraries & Frameworks

Pandas and NumPy are essential Python libraries for data manipulation in machine learning. They provide the foundation for preparing and handling data before model building.