- 👋 Hi, I’m Raza Mehar.
- 👀 I’m interested in machine learning and data science.
- 🌱 I’m currently enrolled in the second Master's program in Data Science at the University of Naples Federico II in Italy.
- 💞️ I’m looking to collaborate on machine learning and data science related projects.
- 📫 How to reach me: email: [email protected]
- ⚡ Fun fact: I love to travel, and read nonfiction books.
- Naples, Italy
-
04:00
(UTC +02:00) - in/razamehar
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IMDB-Sentiment-Analysis-BoW-S2S-Models
IMDB-Sentiment-Analysis-BoW-S2S-Models PublicSentiment analysis on the IMDB dataset using Bag of Words models (Unigram, Bigram, Trigram, Bigram with TF-IDF) and Sequence to Sequence models (one-hot vectors, word embeddings, pretrained embeddi…
Jupyter Notebook
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Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models
Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models PublicThis project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to a…
Jupyter Notebook
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CGI2Real-Multi-Class-Image-Classifier
CGI2Real-Multi-Class-Image-Classifier PublicThe CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.
Jupyter Notebook
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Naples-Diaper-Market-Geo-Analytics-for-Potential-Estimation
Naples-Diaper-Market-Geo-Analytics-for-Potential-Estimation PublicAnalyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
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Financial-Stock-Analysis-and-Clustering
Financial-Stock-Analysis-and-Clustering PublicAnalyzed 157 US Energy stocks (Jan-Dec '23), identified Bullish/Bearish trends and risk categories. Used KMeans, Hierarchical, Spectral Clustering, revealing balanced returns and low volatility. In…
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Employee-Turnover-Insights-using-Survival-Analysis
Employee-Turnover-Insights-using-Survival-Analysis PublicAnalyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagem…
Python
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