https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.
https://github.com/michael-insights/portfolio

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 15 days ago
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This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

• Host: GitHub
• URL: https://github.com/michael-insights/portfolio
• Owner: Michael-Insights
• License: mit
• Created: 2024-12-18T17:33:54.000Z (23 days ago)
• Default Branch: main
• Last Pushed: 2024-12-20T20:00:49.000Z (21 days ago)
• Last Synced: 2024-12-20T20:28:44.139Z (21 days ago)
• Topics: data-analytics, data-science, data-visualization, datapreprocessing, jupyter-notebooks, machine-learning, matplotlib, numpy, pandas, predictive-modeling, python, scikit-learn, sql
• Language: Jupyter Notebook
• Homepage:
• Size: 1.95 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Portfolio

Welcome to my Portfolio repository! This repository is dedicated to showcasing my projects, tracking my progress, and sharing my skills in various areas of data-related fields.

## Structure

The repository is organized into the following folders:

- **Data_Analytics**: Projects focused on extracting actionable insights from data using visualization, statistical analysis, and business-oriented techniques.

- **Data_Science**: Advanced projects involving predictive modeling, statistical analysis, and exploratory data analysis.

- **Machine_Learning**: Implementations of machine learning algorithms to solve real-world problems.

- **Data_Engineering**: Projects focusing on building pipelines, handling data flows, and ensuring the availability of clean, usable data.

## Featured Tools and Technologies

- Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)

- Jupyter Notebooks

- SQL

- Data Visualization tools

- Machine Learning frameworks

## Current Projects

### Data Analytics

- **Customer Churn Analysis**: Understanding and predicting customer churn for a telecommunications company using exploratory data analysis and statistical methods.

### Data Science

- [To be added]

### Machine Learning

- [To be added]

### Data Engineering

- [To be added]

## Goals

This portfolio is a reflection of my journey in the data field, continuously expanding my knowledge and tackling increasingly complex projects. I aim to grow my expertise in:

- Solving real-world data problems

- Building and deploying machine learning models

- Developing efficient data pipelines

## How to Explore

Each project is contained within its respective folder and includes a README file outlining its objectives, methodology, and findings. Feel free to navigate through the folders and explore the code and results.

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Stay tuned for updates as I continue to expand and refine this portfolio!