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NonsoOmoko/README.md

Chukwunonso Omoko

👋 Hi there! Welcome to my GitHub profile.

I'm Chukwunonso "Nonso" Omoko, a Mechanical Engineering student passionate about data analysis and Python programming. Here, you'll find a collection of my data analysis projects, Python scripts, and more.

🔍 Explore My Projects:

  • Netflix Movie Duration Analysis: Dive into the world of Netflix movies and explore trends in movie durations over the years.
  • Industry Trends Analysis: Uncover insights into high-growth industries and emerging trends using data analysis techniques.
  • Data Visualization with Matplotlib: Check out my visualizations created using Matplotlib to convey data stories effectively.

📚 Certifications:

  • Data Analyst Associate
  • Explore Engineering Virtual Experience Program
  • Modeling and Design with Autodesk Fusion 360
  • Globally Responsible Engineering

🌱 Currently Learning:

  • Python
  • Predictive Analytics
  • Advanced Data Visualization Techniques

📫 Contact Me:

🌟 Let's Connect:

I'm always eager to collaborate on exciting data projects or discuss data analysis techniques. Feel free to reach out and let's spark some data-driven brilliance together!

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  1. Project-Predicting-Movie-Rental-Durations Project-Predicting-Movie-Rental-Durations Public

    This repository contains a machine learning project for predicting DVD rental durations. Using Lasso regression for feature selection and Random Forest for final prediction, we achieved an MSE of 2…

    Jupyter Notebook

  2. Analyzing-Crime-in-Los-Angeles Analyzing-Crime-in-Los-Angeles Public

    This repository contains a data analysis project focused on crime data in Los Angeles, completed as part of a DataCamp certification. The goal is to identify patterns in criminal behavior to help t…

    Jupyter Notebook

  3. Project-Modelling-Car-Insurance-Claim-Outcomes Project-Modelling-Car-Insurance-Claim-Outcomes Public

    Jupyter Notebook

  4. Visualizing-the-History-of-Nobel-Prize-Winners Visualizing-the-History-of-Nobel-Prize-Winners Public

    Explore the history of Nobel Prize winners through data visualization and analysis. Analyze trends, gender distribution, and top-performing countries using pandas, seaborn, and numpy.

    Jupyter Notebook 1

  5. Project-Predictive-Modeling-for-Agriculture Project-Predictive-Modeling-for-Agriculture Public

    Harness the power of machine learning to help farmers optimize their crop selection. This project predicts the best crop type based on soil metrics like nitrogen, phosphorous, potassium levels, and…

    Jupyter Notebook

  6. Project-Analyzing-Unicorn-Companies Project-Analyzing-Unicorn-Companies Public

    High-Growth Companies Analysis Project on DataCamp: Explore trends in high-growth companies using SQL queries on a unicorns database. Identify top-performing industries and valuation dynamics for i…

    Jupyter Notebook 1