Chapter 11 Fine Tune Models Do A Data Science Project in 10 Days

This is a data science project practice book. It was initially written for my Big Data course to help students to run a quick data analytical project and to understand 1. the data analytical process, the typical tasks and the methods, techniques and the algorithms need to accomplish these tasks. During convid19, the unicersity has adopted on-line teaching. So the students can not access to the university labs and HPC facilities. Gaining an experience of doing a data science project becomes individual students self-learning in isolation. This book aimed to help them to read through it and follow instructions to complete the sample propject by themslef. However, it is required by many other students who want to know about data analytics, machine learning and particularly practical issues, to gain experience and confidence of doing data analysis. So it is aimed for beginners and have no much knowledge of data Science. the format for this book is bookdown::gitbook.

10 Exciting Project Ideas Using Large Language Models (LLMs) for Your Portfolio, by Leonie Monigatti

How to Find Unique Data Science Project Ideas That Make Your Portfolio Stand Out, by Matt Chapman

250+ End-to-End Data Science Projects with Source Code

Highlight, take notes, and search in the book

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

15 Power BI Projects Examples and Ideas for Practice

Time Series Analysis and Forecasting

Large language models encode clinical knowledge

How to Forecast Time Series Data Using any Supervised Learning Model, by Matthew Turk, Feb, 2024

Top 50 Machine Learning Projects for Beginners in 2024

How to Streamline Machine Learning/ Data Science Projects?

Data Science life Cycle

Generative AI Training Course, Learn Generative AI

RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?, by Heiko Hotz

A Guide to Time Series Forecasting in Python