Introduction to AI/ML: "Launched into the fascinating world of Artificial Intelligence and Machine Learning, laying the foundation for innovative advancements."
Linear Regression: "Explored the fundamentals of Linear Regression, a powerful tool for predictive analysis and data-driven decision making."
KNN: "Dived into K-Nearest Neighbors, a versatile algorithm for classification and regression, showcasing its simplicity and effectiveness."
Image Annotation: "Mastered the art of Image Annotation, a crucial step in preparing datasets for machine learning models, enhancing their accuracy and performance."
Practical Implementation of CNN to Detect Cat/Dog: "Implemented Convolutional Neural Networks to solve a classic image recognition problem, demonstrating the power of deep learning in practical applications."
Practical Implementation: of Linear Regression, KNN, Weighted KNN, and Nearest Centroid: Introducing the fundamentals and practical applications of these essential algorithms.
Big Data: Exploring the significance and handling of large datasets in the modern data-driven world.
Data Analysis Process: Demonstrating the steps involved in analyzing and extracting meaningful insights from data.
Dimensionality Reduction: Simplifying complex datasets to improve computational efficiency and visualization.
Practical Implementation of YOLOV8 for Vehicle Detection with 6 Classes: Showcasing a powerful object detection model in action.
Foundation and History of AI: Providing context and background to understand the evolution of AI.
AI Tools for Research: Highlighting useful tools like SCISPACE, Gamma, ChatGPT, and ChatPDF to aid in research.
Topics delivered are
HTML: structures web pages using tags and attributes to define content.
CSS : styles HTML elements to control presentation and layout on web pages.
XAMPP: sets up local web server environments with Apache, MySQL/MariaDB, PHP, and Perl for web development and testing.
It was really a great experience.
1. Installation of WAMPP.
2. PHP.
3. Maria DB creation, establishing connection.
4. Creation of Database and tables.
5. Writing queries for insert, delete, update database.
6. Usage of get(), post() methods.