Data Science and Machine Learning Projects

This repository contains a collection of beginner to intermediate-level Data Science and Machine Learning projects. The projects are implemented using Python, Pandas, Scikit-learn, TensorFlow, and other popular libraries. Each project focuses on solving real-world problems using data analysis, visualization, and machine learning techniques.

Repository Structure

• Digit_Recognizer.ipynb
  Handwritten digit recognition using machine learning models.

• E-commerce_data_analysis.ipynb
  Exploratory data analysis of e-commerce datasets to uncover business insights.

• Email_spam_classifier.ipynb
  A machine learning model to classify emails as spam or not spam.

• Plant_Pathology_2020_FGVC7_Project.ipynb
  Plant disease classification using deep learning techniques.

• Rice_Disease_classification.ipynb
  Rice disease detection using machine learning and image processing.

• Survival_Rate_Pred_using_ML_models.ipynb
  Predicting survival rates using various machine learning algorithms.

• heart_disease_project.ipynb
  Predicting heart disease presence based on patient data.

• sales-price-prediction-using-ml-xgb.ipynb
  Sales price prediction using machine learning models, including XGBoost.

• Other...

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• Matplotlib
• Seaborn

Features

• Real-world datasets
• Jupyter Notebooks with step-by-step explanations
• Projects focused on both classification and regression problems
• Data analysis and visualization included in multiple projects

Getting Started

1. Clone this repository:

git clone https://github.com/hasnainyaqub/Projects.git jupyter notebook filename.ipynb
pip install pandas numpy scikit-learn tensorflow matplotlib seaborn

Note

This repository is created for personal learning and project practice. I will continue to update and add new projects as I learn more.

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Feel free to explore the notebooks and connect if you're interested in collaboration or feedback. Let's grow together in the world of Data Science!

Connect with Me

• LinkedIn: https://www.linkedin.com/in/hasnainyaqoob
• GitHub: https://github.com/hasnainyaqub
• Kaggle: https://www.kaggle.com/hasnainyaqooob