Projects using pandas in Johar Town
Projects using pandas in Johar Town
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Usman Haider
Worked on an RLHF (Reinforcement Learning from Human Feedback) pipeline focused on dataset creation, data annotation, and model evaluation. My role involved designing and curating high-quality prompt datasets, reviewing AI-generated responses, and providing structured feedback based on accuracy, relevance, safety, and helpfulness. Contributed to improving model performance by ensuring consistent evaluation standards and high-quality human feedback for training alignment and refinement.
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Hamna Hameed
AI-Powered Data Query Application
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Waqas Ali
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Zuha Junaid
Diabetes Prediction System Developed a prediction system using Pima Indians dataset, achieving 84% accuracy with Random Forest. Performed comprehensive data cleaning and median imputation for missing values. Implemented feature scaling and model evaluation with cross-validation. 84% Accuracy Data Cleaning Feature Scaling Technologies Python Scikit-learn Pandas Random Forest
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Zeba Mushtaq
Netflix Dataset Analysis
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Hadi Hassan
Interactive Data Explorer Development
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Imtiaz Ahmad
Population Data Analysis
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9
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Shahjahan Khan
Movie Revenue Analysis
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Ali Jafar
Data_analysis
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Uman Sheikh
EDA Analysis | EDA Analysis in few clicks
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Irtaza Ahmed
Market Basket Analysis In Python | Data Science Projects
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Zeba Mushtaq
Analyzed your Linkedin data using Python
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Imtiaz Ahmad
Complete Analysis of IRIS Dataset
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Irtaza Ahmed
Predictive Analysis In Python | Data Science Projects
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Imtiaz Ahmad
Millions of Google App Data Analysis
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Irtaza Ahmed
Regression Analysis In Python | Data Science Projects
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