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Thabresh Syed's Projects

astrowind icon astrowind

⭕️ AstroWind: A free template using Astro 3.0 and Tailwind CSS. Astro starter theme.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

blog_statichunt icon blog_statichunt

🚀 My personal blog made with Tailwind CSS and NextJS. Template from Timlrx. Feel free to fork, follow and use.

bruno icon bruno

Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)

btw icon btw

Open source Medium alternative- set up your personal blog in minutes.

builder icon builder

Modern website builder for modern web pages

coolify icon coolify

An open-source & self-hostable Heroku / Netlify alternative.

credit-default-prediction-webapp icon credit-default-prediction-webapp

Credit Default Prediction - Develop a machine learning model to predict whether new loan applicants are likely to default or not, using a large dataset with features like income, gender, loan purpose. The dataset has issues such as multicollinearity and missing values that need to be addressed to build an accurate classifier.

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-science-interview-questions- icon data-science-interview-questions-

data science interview questions company wise which include the data analyst , junior data scientist , machine learning engineer etc. position questions with their answers

data-science-interview-resources icon data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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