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hariskhan-hk/README.md

Hi! I'm Muhammad Haris Khan👋

Hello, I'm Haris, an undergraduate Computer Systems Engineer and an aspiring Data Scientist with a strong foundation in Python programming. I'm passionate about applying my skills to real-world challenges and creating value through technology. If you share my passion for technology and innovation, let's connect and explore ways we can work together to create value through technology.

💼 What I Can Do:

  • Data Analysis using MS Excel, Python (Numpy, Pandas), SQL
  • Data Visualization using MS Excel, Power BI, Python (Matplotlib, Seaborn)
  • Machine Learning using Scikit-learn, TensorFlow, PyTorch, including models such as:
    • Linear Regression
    • Logistic Regression
    • K-Means Clustering
    • Decision Trees
    • Random Forest
  • Object Detection with YOLOv7
  • Statistical Analysis using Minitab
  • Back-end development using Django
  • Front-end development using HTML, CSS
  • Non-coded development using WordPress
  • Solving Data Structure and Algorithm Questions using Python
  • Software Testing through Cypress, Selenium
  • Crafting Software Diagrams (UML, ERD, DFD)

💻 Languages & Tools:

android css3 django firebase git html5 illustrator java matlab mysql oracle pandas photoshop python seaborn typescript powerbi excel opencv scikit-learn pytorch numpy scipy VS Code PyCharm


hariskhan-hk hariskhan-hk hariskhan-hk

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  1. Churn_pred Churn_pred Public

    This project aims to develop customer churn prediction model to identify customers at risk of cancelling their service. Using machine learning, we can analyze customer data and uncover patterns ass…

    Jupyter Notebook

  2. Data-Science-Projects Data-Science-Projects Public

    This repository contains my completed Data Science projects using Python, which were part of my Data Science journey on DataCamp.

    Jupyter Notebook

  3. Prediction_using_DecisionTreeAlgorithm Prediction_using_DecisionTreeAlgorithm Public

    This Python script demonstrates how to perform classification using the Decision Tree Algorithm on the Iris dataset. It utilizes the scikit-learn library to load the dataset, create a Decision Tree…

    Python

  4. Prediction_using_Supervised_ML Prediction_using_Supervised_ML Public

    We will see how the Python Scikit-Learn library for Machine Learning can be used to implement regression functions. It is Simple Linear Regression, as it involves just two variables. We will predic…

    Python

  5. Prediction_using_Unsupervised_ML Prediction_using_Unsupervised_ML Public

    This Python script showcases K-Means clustering with the Iris dataset to determine the optimal number of clusters.

    Python

  6. sales_data_2023 sales_data_2023 Public

    Jupyter Notebook