hariskhan-hk

assessment

course requirement

Churn_pred

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 associated with churn behavior. This allows us to target at-risk customers with retention campaigns, ultimately boosting customer satisfaction and revenue.

Data-Science-Projects

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

emotion_detection

first-contributions

🚀✨ Help beginners to contribute to open source projects

hariskhan-hk

Prediction_using_DecisionTreeAlgorithm

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 Classifier, train the classifier, and visualize the decision tree.

Prediction_using_Supervised_ML

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 predict the percentage of marks that a student is expected to score based on the number of hours they studied.

Prediction_using_Unsupervised_ML

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

sales_data_2023

hariskhan-hk/assessment

course requirement

hariskhan-hk/Churn_pred

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 associated with churn behavior. This allows us to target at-risk customers with retention campaigns, ultimately boosting customer satisfaction and revenue.

hariskhan-hk/Data-Science-Projects

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

hariskhan-hk/emotion_detection

hariskhan-hk/first-contributions

🚀✨ Help beginners to contribute to open source projects

hariskhan-hk/hariskhan-hk

hariskhan-hk/Prediction_using_DecisionTreeAlgorithm

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 Classifier, train the classifier, and visualize the decision tree.

hariskhan-hk/Prediction_using_Supervised_ML

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 predict the percentage of marks that a student is expected to score based on the number of hours they studied.

hariskhan-hk/Prediction_using_Unsupervised_ML

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

hariskhan-hk/sales_data_2023

hariskhan-hk/it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

hariskhan-hk/ML_CEP

A very basic problem statement for which a logistic regression is to be made!

hariskhan-hk/Numpy_PracQues

This repository contains simple numpy practice questions which are part of Machine Learning course.

hariskhan-hk/Pandas_PracQues

This repository contains simple pandas practice questions which are part of Machine Learning course.

hariskhan-hk/RegModels_PracQues

This repository contains simple Linear Regression and K Neighbors Regression models practice questions which are part of Machine Learning course.

hariskhan-hk/skills-communicate-using-markdown

My clone repository

hariskhan-hk/skills-github-pages

My clone repository

hariskhan-hk/skills-introduction-to-github

My clone repository