Muchiri (kr-muchiri)

kr-muchiri

Geek Repo

Location:Danville, Kentucky

Github PK Tool:Github PK Tool

Muchiri's repositories

Language:PythonStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0

todoist-readme

🚧 Updates README with Todoist Stats of a user

License:CC0-1.0Stargazers:0Issues:0Issues:0

react-resume-template

A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css

Language:TypeScriptLicense:MITStargazers:0Issues:0Issues:0

Applied-Machine-Learning

🤖 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! 💻📊

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Python-mini-projects

Repository of Python mini-projects: A collection of small, independent projects showcasing various aspects of Python programming. Ideal for beginners seeking to learn Python fundamentals or for experienced programmers looking to refresh their skills.

Stargazers:0Issues:0Issues:0

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.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

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.

Stargazers:0Issues:0Issues:0

100-Days-of-Coding

This is my progress during Dr. Angela Yu's 100 days of Coding Course.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

data-science-interviews

Data science interview questions and answers

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

Statistical-Modelling

These are the code solutions from the Data Science 205(DSC 205) class offered by Centre College in Fall 2022.

Language:RStargazers:0Issues:0Issues:0

pennylane

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

License:Apache-2.0Stargazers:0Issues:0Issues:0

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

Stargazers:0Issues:0Issues:0

10-projects-1-hour

The projects from the "10 JavaScript Projects in 1 Hour" Coding Challenge

Language:HTMLStargazers:0Issues:0Issues:0

theFPLkiwi

Kiwi shared stats/resources

Stargazers:0Issues:0Issues:0

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.

License:MITStargazers:0Issues:0Issues:0

LeetCode-Easy-Solutions

These are my solutions for the leetcode easy problems in Python.

Language:PythonStargazers:0Issues:0Issues:0

developer-roadmap

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

License:NOASSERTIONStargazers:0Issues:0Issues:0

numpy

The fundamental package for scientific computing with Python.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0