Part of IBM Data Science Professional Certificate
This repository contains a collection of projects completed as part of the IBM Data Science Professional Certificate course. These projects cover various aspects of Data Science, including Data Analysis, Machine Learning, and Data Visualization.
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Project 1: Analyzing Historical Stock Revenue Data and Building a Dashboard
- Description: A detailed analysis of This repository contains a comprehensive analysis of historical stock revenue data and the development of an interactive dashboard to visualize and explore this data.
- Technologies Used: Python, Pandas, yfinance , Jupyter Notebook.
- Link to Project 1
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Project 2: House Sales in King County, USA
- Description: To the analysis of house sales data in King County, USA. By examining historical data, we aim to gain valuable insights into the local real estate market. .
- Technologies Used: Python, Numpy, Pandas, Seaborn, Scikit-Learn, Jupyter Notebook.
- Link to Project 2
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Project 3: Python Data Visualization and Interactive Dashboards Mastery
- Description: It covers essential libraries and techniques to create visually stunning and insightful data representations.
- Technologies Used: Python, Matplotlib, Seaborn, Folium, Jupyter Notebook.
- Link to Project 3
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Project 4: Rainfall Prediction in Australia: ML Algorithm Comparison
- Description: Compare machine learning models for predicting rainfall in Australia, providing insights into effective algorithms for different regions.
- Technologies Used: Python, Pandas, Scikit-Learn, Jupyter Notebook.
- Link to Project 4
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Project 5 - Data Science Capstone Project
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- Description: In this capstone, we'll forecast the Falcon 9 first stage's successful landing, saving millions through SpaceX's remarkable reusability.
- Technologies Used: Python, Pandas, Numpy, Scikit-learn, Seaborn, Matplotlib, Jupyter Notebook.
- Link to Project 5