Welcome to my collection of beginner projects in data science and machine learning. Each project showcases different techniques and models I've applied to solve a variety of real-world problems using machine learning, deep learning, and data analysis. Below are the projects I've worked on with links to the datasets or notebooks used.

1. Predicting Car Prices

   • Dataset
     Built a regression model to predict the prices of cars based on various features like age, brand, and engine size.

2. Future Sales Prediction Model

   • Dataset
     Developed a time-series model to forecast future sales of products using historical sales data.

3. Fraud Detection Model

   • Project
     Created a classification model to detect fraudulent transactions, leveraging anomaly detection techniques.

4. Sonar vs Mine Prediction

   • Dataset
     Developed a binary classification model to distinguish between sonar signals from mines and rocks.

5. Telecom Customer Churn Prediction

   • Project
     Implemented a churn prediction model for a telecom company, identifying at-risk customers to optimize retention strategies.

6. Handwritten Digit Recognition

   • Project
     Built a neural network model to classify handwritten digits using the MNIST dataset.

7. Flower Classification

   • Project
     Created a convolutional neural network (CNN) to classify different types of flowers.

8. Audio Books Business Case

   • Project
     Worked on a deep learning model to predict user engagement and purchasing decisions in an audio book business scenario.

9. Antarctic Penguin Species Classification

   • Project
     Built a model to classify penguin species based on physical characteristics.

10. SpaceX Falcon 9 Launch Prediction

    • Project
      Analyzed SpaceX launch data to predict successful launches of the Falcon 9 rocket.

11. Insurance Costs Prediction

    • Project
      Created a regression model to predict medical insurance costs based on customer demographic and health data.

12. Cat and Dog Classification

    • Project
      Built a CNN model to classify images of cats and dogs.

13. Food101 Dataset Classification

    • Project
      Used a deep learning model to classify over 100 types of food from the Food101 dataset.

14. Web Scraping Projects

    • Projects
      Collected and processed data from websites using web scraping techniques for various analysis purposes.

15. DEPI Tasks

    • Tasks
      Completed machine learning and data science tasks during my internship at DEPI.

16. Beginner NLP Projects

    • Projects
      A collection of beginner projects focused on natural language processing tasks like text classification and sentiment analysis.

17. Computer Vision Projects

    • Projects
      Worked on several computer vision models including object detection and image segmentation.