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McDonald

McDonald's Menu Analysis

Python Pandas NumPy Seaborn Matplotlib Plotly Statsmodels Scikit-Learn Isolation Forest Linear Regression LightGBM

Conducted data visualization and nutritional analysis of McDonald's menu items to uncover insights on calories, protein, and fat distribution across categories using Python and Matplotlib.

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nl2sql

Play Store Sentiment Analysis

Python Jupyter Notebook Pandas NumPy Matplotlib Seaborn EDA Data Visualization Correlation Analysis

This project analyzes Google Play Store app reviews and metadata using Python. It leverages Pandas, NumPy, and Matplotlib to perform Exploratory Data Analysis (EDA) and sentiment analysis. The goal is to uncover correlations between app features such as installs, ratings, and review sentiment to support better product decisions.

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playstore

Housing Price Prediction

Python Machine Learning Linear Regression Scikit-learn Pandas NumPy Matplotlib Seaborn Data Preprocessing Feature Engineering Model Evaluation

A Machine Learning based project that predicts house prices by analyzing key features like area, location, number of rooms, and more. The model helps in estimating accurate property values using regression techniques.

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eda

Exploratory Data Analysis on Retail Sales

Python EDA Retail Analytics Data Visualization Time Series Analysis Sales Forecasting Pandas Matplotlib Seaborn

An Exploratory Data Analysis project focused on uncovering insights from retail sales data. It identifies sales trends, analyzes store performance, and detects seasonal patterns to support better business decisions.

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brain

Brain Tumor Detection

Python Deep Learning CNN Medical Imaging Image Classification TensorFlow Keras Brain Tumor Detection Computer Vision

A Deep Learning project designed to detect brain tumors from MRI scans using Convolutional Neural Networks (CNN). The model classifies images into tumor and non-tumor categories, supporting early medical diagnosis through automated image analysis.

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fake

Fake News Detection

Python Machine Learning NLP Fake News Detection Text Classification Logistic Regression TF-IDF Scikit-learn Natural Language Processing

A Machine Learning based solution to detect and classify fake news articles using Natural Language Processing (NLP). The model analyzes news content and predicts its authenticity using text vectorization and classification algorithms.

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