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      <title>DAY 01 OF MACHINE LEARNING JOURNEY</title>
      <dc:creator>alirazasaleem-1</dc:creator>
      <pubDate>Sun, 19 Jul 2026 21:29:19 +0000</pubDate>
      <link>https://dev.to/alirazasaleem1/day-01-of-machine-learning-journey-idp</link>
      <guid>https://dev.to/alirazasaleem1/day-01-of-machine-learning-journey-idp</guid>
      <description>&lt;p&gt;🚀 Day 1 of My Machine Learning Journey – Credit Scoring Model Today, I officially started my Credit Scoring Model project as part of my CodeAlpha Machine Learning Internship. Although there isn't an AI model yet, today was all about building a strong foundation before writing any Machine Learning code. Here's what I accomplished today: ✅ Understood the credit scoring problem and why it's a Binary Classification task. ✅ Selected and explored a real-world credit risk dataset containing 32,581 loan records. ✅ Created a professional Machine Learning project structure. ✅ Set up a dedicated Python virtual environment. ✅ Installed the essential ML libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Streamlit, and Jupyter). ✅ Created my first Jupyter Notebook and successfully loaded the dataset. ✅ Prepared the project documentation and pushed the initial version to GitHub. GitHub Repository: &lt;a href="https://github.com/alirazasaleem-1/CodeAlpha_CreditScoringModel" rel="noopener noreferrer"&gt;https://github.com/alirazasaleem-1/CodeAlpha_CreditScoringModel&lt;/a&gt; One important lesson from today: Machine Learning doesn't begin with training a model—it begins with understanding the problem and the data. Tomorrow, I'll start Exploratory Data Analysis (EDA) to understand the dataset before moving on to preprocessing and model training. I'm excited to keep learning, one step at a time. 📈 #MachineLearning #Python #DataScience #ScikitLearn #Jupyter #LearningInPublic #CodeAlpha #AI #GitHub #100DaysOfLearning &lt;/p&gt;

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