From 23fa1d9000eb771de0be64713194ba8ff73b9194 Mon Sep 17 00:00:00 2001 From: bit_guber Date: Fri, 3 Nov 2023 12:01:51 +0530 Subject: [PATCH] added Movie-recommender --- README.md | 46 ++++++++++++++++++++----- images/header.png | Bin 0 -> 1336785 bytes images/movie-recommender-demo-page.png | Bin 0 -> 783638 bytes 3 files changed, 38 insertions(+), 8 deletions(-) create mode 100644 images/header.png create mode 100644 images/movie-recommender-demo-page.png diff --git a/README.md b/README.md index 0b3da18..9003e47 100644 --- a/README.md +++ b/README.md @@ -1,27 +1,57 @@ # Data Science Portfolio - Guberan -This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my skills. It is updated on the regular basis. + +      This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my skills. It is updated on the regular basis. - **Email**: [mgrguber@gmail.com](mgrguber@gmail.com) - **LinkedIn**: [linkedin/bit-guber](https://www.linkedin.com/in/bit-guber) +## Competitions + +[](https://www.kaggle.com/code/ryanholbrook/evaluate-student-summaries-efficiency-lb) + +### [
28th place in CommonLit - Evaluate Student Summaries by NLP
](https://www.kaggle.com/code/ryanholbrook/evaluate-student-summaries-efficiency-lb) + +       The goal of this competition is to assess the quality of summaries written by students in grades 3-12. Paticipation will build a model that evaluates how well a student represents the main idea and details of a source text, as well as the clarity, precision, and fluency of the language used in the summary.

+ +#### I can find my solution [here](https://github.com/bit-guber/CESS-kaggle) + +# + +# + +# ## Projects - **[Crunchyroll Web Scraping and Basic Analysis ]( Crunchyroll%20Web%20Scraping/Basic_Analysis.ipynb )** +[](https://github.com/bit-guber/Movie-Recommender-demo) **[
Movie Recommendation Application
](https://github.com/bit-guber/Movie-Recommender-demo)** + +
+In this project I make Recommended system for Movies based on user liked movie collection. It more efficient and Accuracy By using SVD algorithm that trained on MovieLens Dataset.
+It live now +
-In this project I make data pipeline from crunchyroll websites scraped data, ETL process scripts and gather few insights of crunchyroll anime community +# # -
+## + +[](Crunchyroll%20Web%20Scraping/Basic_Analysis.ipynb) **[
Crunchyroll Web Scraping and Basic Analysis
](Crunchyroll%20Web%20Scraping/Basic_Analysis.ipynb)** + +
+In this project I make data pipeline from crunchyroll websites scraped data, ETL process scripts and gather few insights of crunchyroll anime community
+ +# + +
## Micro Projects + - ### Random Analysis - - Simple Analysis of Cardiovascular Diseases Risk Prediction Dataset that present on kaggle [notebook](https://www.kaggle.com/code/bitguber/basic-analysis-brfss-eda) + - Simple Analysis of Cardiovascular Diseases Risk Prediction Dataset that present on kaggle [notebook](https://www.kaggle.com/code/bitguber/basic-analysis-brfss-eda) - ## Core Competencies - **Methodologies**: Machine Learning, Deep Learning, Time Series Analysis, Natural Language Processing, Statistics, Explainable AI, A/B Testing and Experimentation Design, Big Data Analytics -- **Languages**: Python (Pandas, Numpy, Scikit-Learn, Scipy, Keras, SeaBorn, Matplotlib), SQL, C++, Rust -- **Tools**: MySQL, PowerBI, Git, PySpark, Amazon Web Services (AWS), MS Excel +- **Languages**: Python (Pandas, Numpy, Scikit-Learn, Scipy, Keras, SeaBorn, Matplotlib), SQL, C++, Rust, Javascript, HTML, CSS +- **Tools**: MySQL, PowerBI, Git, PySpark, MS Excel, Nltk, Transformers models(such as 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