Machine Learning Project - 2 | Loan Approval Prediction using Python | End-to-End ML Project #pyhton

📩 Download All Projects Source Codes + Datasets : https://rzp.io/rzp/all15projects 👉Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal Download Project (Python Code & Dataset) - https://www.kaggle.com/datasets/rohitgrewal/loan-approval-dataset Purchase - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.199 only) - https://rzp.io/l/dslnotes239 ------------------------------------------------------------ Watch our videos in Hindi on new channel: https://www.youtube.com/@ITCoursesEasy ------------------------------------------------------------ Enroll in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-analysis-python/?referralCode=F75B5F25D61BD4E5F161 2. Python For Data Science - https://www.udemy.com/course/python-for-data-science-real-time-exercises/?referralCode=9C91F0B8A3F0EB67FE67 3. Numpy For Data Science - https://www.udemy.com/course/python-numpy-exercises/?referralCode=FF9EDB87794FED46CBDF -------------------------------------------- In this Machine Learning Project-2, we build a complete end-to-end Loan Approval Prediction system using Python and Scikit-learn. This project covers the full machine learning workflow including Data Cleaning, Exploratory Data Analysis (EDA), Feature Engineering, Encoding Categorical Variables, Handling Outliers, Correlation Analysis, Model Building, and Prediction. We compare Logistic Regression, Decision Tree, and Random Forest, and select the best-performing model to predict whether a loan will be 'Approved' or 'Rejected' based on applicant details such as income, CIBIL score, assets, loan amount, and more. This is a practical, real-world data science project that helps beginners and aspiring data scientists understand how machine learning models are built and deployed. What you will learn in this video: - Data Preprocessing and Cleaning - Handling Categorical Variables (Label Encoding & One-Hot Encoding) - Feature Scaling and Outlier Treatment - Exploratory Data Analysis with Visualizations - Building Random Forest Model - Model Evaluation (Accuracy, Confusion Matrix, Classification Report) - Making Predictions for new loan applicants If you are learning machine learning and want hands-on experience with a real finance-based dataset, this project will help you understand the practical implementation of ML algorithms. -------------------------------- You must check our other Projects : Machine Learning : Project 1 : Electricity Demand Prediction - https://youtu.be/iop8TUxmgO0 Data Analytics: Project 15 - E-commerce Data Analysis - https://youtu.be/Szvc57nPTkk Project 14 - https://youtu.be/TLIotspGcng Project 13 - HR Data Analytics - https://youtu.be/fykrwQD3HR4 Project 12 - AI Market Financial Data Analysis - https://youtu.be/WmJYHz_qn5s Project 11 - Airlines' Flights Data Analysis - https://youtu.be/gu3Ot78j_Gc Project 10 - Spotify-YouTube Data Analysis - https://youtu.be/xqtbBosGMl0 Project 9 - https://youtu.be/dQwnyCEZ-UU Project 8 - https://youtu.be/b7Kd0fLwgO4 Project 7 - https://youtu.be/AO5uhxa1R84 Project 6 - https://youtu.be/e1zKFSrKeLs Project 5 - https://youtu.be/q-Omt6LgRLc Project 4 - https://youtu.be/89eYAAPyRfo Project 3 - https://youtu.be/GyUbo45mVSE Project 2 - https://www.youtube.com/watch?v=fhiUl7f5DnI Project 1 - https://youtu.be/4hYOkHijtNw ------------------------------------------------------------------ Contact Mail Id : [email protected] Thanks all ! Don't forget to subscribe to get notifications of next projects.