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HealthProSpec is an advanced machine learning model developed for the Hackathon TechGig Code Gladiators organized by Doceree. The primary objective of HealthProSpec is to accurately predict whether a user is a Healthcare Professional (HCP) and, if so, identify their specific specialization.
Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.
Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.
Enabling robots to learn, adapt, and recreate tasks with constantly changing restrictions through exploration and autonomous learning is the ultimate objective of reinforcement learning.
📚 This repository is my personal data science learning hub. Explore my journey from the very basics to advanced techniques. Dive into Python, data manipulation, analysis, visualization, and machine learning. Join me as I learn, grow, and experiment in the world of data science.
Final Project for CS 9860A- Advanced Machine Learning; using regression techniques to predict housing prices using the House Price- Advanced Regression Techniques Kaggle dataset
This report proposes an approach to detect anomalies in credit card data using machine learning techniques. Credit card data is prone to fraudulent transactions, and detecting anomalies can help minimize financial losses. The proposed approach involves preprocessing the data by removing missing values and outliers
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms,…