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followers: 9.0 following: 44.0 repos: 58.0 gists: 0.0

Name: Michael Nganga

Type: User

Bio: Data Scientist | IT Support Specialist | AWS Cloud Practitioner(AWS CCP)

Location: Nairobi

Hello, I'm Michael Nganga (MickeyWise)! 👋

I'm a Data Scientist based in Nairobi, Kenya. Welcome to my GitHub data playground!

About Me

😄 Pronouns: He/Him
🌱 I’m currently learning advanced machine learning techniques.
👯 I’m looking to collaborate on data-driven projects.
💬 Ask me about data analysis, machine learning, cloud computing, and cybersecurity.
📫 How to reach me: Email | LinkedIn

GitHub Stats

Technologies I Use

My Data Projects

NLP Trial Project: WhatsApp Analysis Project
Data Camp Projects: Data Camp projects
Random Projects: Projects_With_Siddardhan Portfolio

Connect with Me

Michael Nganga's Projects

100daysofmlcode

100 Days of ML Coding

ads-assignment-1

ads-assignment-10

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ads-assignment-4

ads-assignment-9

ads_course_material

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

clustering

content

Official content for Harvard CS109

coursera-stanford

Stanford

coursera_crash_course_on_python

This repository contains all the solution codes as notebook of the course assessments done by me.

dash-by-plotly

Interactive data analytics

data-science-portfolio-template

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deepleaning.ai_coursera

Code Assignments

eda1

git_tut

heart_disease_prediction-

Heart Disease Classification

image-processing

The repository contains the basics to get started with Image Processing with OpenCV and Python

kiva-data-analysis

life_satis

machine-learning

Projects for learning machine learning

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

machine_learning_bootcamp

mickeywise

My personal repository.

micro-courses

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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