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Hi ๐Ÿ‘‹, I'm Muchiri

A student of Data Science and Mathematics, I am deeply interested in the realm of Data Analysis, Machine Learning, Mathematical Modelling, and Quantum Computing. Aspiring to delve into the intricate world of Financial Engineering, I continually strive to apply complex mathematical theories to real-world problems. Driven by curiosity and powered by quantitative skills, I explore the fascinating intersection of data, mathematics, and finance

Coding

kr-muchiri

  • ๐ŸŒฑ Iโ€™m currently learning Flutter, Q# and Silq

  • ๐Ÿ’ฌ Ask me about Ask me about Data Analysis, Machine Learning algorithms, Mathematical Modelling techniques, the basics of Quantum Computing, and the intersection of mathematics with Financial Engineering. I'm always eager to discuss and collaborate on projects in these areas

Connect with me:

Languages and Tools:

angular azure css3 d3js django flask git html5 opencv pandas python pytorch scikit_learn seaborn tensorflow

kr-muchiri

ย kr-muchiri

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๐Ÿ“ Latest To-Dos

Muchiri's Projects

99-ml-learning-projects icon 99-ml-learning-projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

algorithmic-trading-using-python icon algorithmic-trading-using-python

The course covers the fundamentals of algorithmic trading, and I'll be working on building an equal-weight S&P 500 index fund, a quantitative momentum investing strategy, and a quantitative value investing strategy. I'll be using Python and various APIs to pull and manipulate data, calculate weights, and generate output files.

alternative-internet icon alternative-internet

A collection of interesting new networks and tech aiming at decentralisation (in some form).

applied-finance-in-python icon applied-finance-in-python

Welcome to my repository for the Applied Finance in Python course. I learned how to enhance my Python financial skills and manipulate data to make better data-driven decisions. I used powerful libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn to explore and analyze financial data, create visualizations, and develop predictive models.

applied-machine-learning icon applied-machine-learning

๐Ÿค– This repository hosts various projects and experiments focused on applied machine learning. Here you'll find a collection of Jupyter notebooks demonstrating different machine learning models, techniques, and applications. From predictive analysis to clustering and classification tasks. Contributions and suggestions are always welcome! ๐Ÿ’ป๐Ÿ“Š

awesome-blockchain icon awesome-blockchain

โšก๏ธCurated list of resources for the development and applications of blockchain.

awesome-solidity icon awesome-solidity

โŸ  A curated list of awesome Solidity resources, libraries, tools and more

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

calendar icon calendar

This a small python program that outputs the calendar of a given year.

ccy icon ccy

python module for currencies

cryptolist icon cryptolist

Curated collection of blockchain & cryptocurrency resources.

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.

defi-developer-road-map icon defi-developer-road-map

DeFi Developer roadmap is a curated Web3.0 Developer handbook which includes a list of the best tools for DApps, development resources and lifehacks.

developer-roadmap icon developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

diem icon diem

Diemโ€™s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.

football.json icon football.json

Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera Divisiรณn, Serie A and more - No API key required ;-)

football_analytics icon football_analytics

โšฝ๐Ÿ“Š A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

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