Machine-Learning
Unverified ML strategy on Multi by UmarIgan. BotFinder score 18 out of 100.
A set of jupyter notebooks
Source: github
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Machine-Learning
Machine Learning Projects and Experiments Repository Welcome to my GitHub repository for machine learning projects and experiments! This repository contains a variety of Jupyter Notebook files showcasing different machine learning techniques, data analysis, and data engineering tasks. Feel free to explore the projects and experiments I've worked on. Table of Contents 1. Anomaly Detection Using AutoEncoder with Pytorch - Detect anomalies in data using an AutoEncoder model implemented with PyTorch. 2. Bubble Detection for the Crypto Market - Analyze and detect bubbles in the cryptocurrency market using data analysis and visualization techniques. 3. Data Engineering & Analysis - Perform data engineering tasks and exploratory data analysis to gain insights from various datasets. 4. Depth Estimation 2D to 3D - Convert 2D images to 3D depth maps using a machine learning approach. 5. Feature Importance with XGBoost vs ppscore - Compare feature importance techniques between XGBoost and ppscore libraries. 6. Fine-Tune LLaMA 2 with QLoRA for QA Datasets - Fine-tune the LLaMA 2 model using QLoR
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