🎇 Machine Learning Projects 🎇

The aim of this is to showcase Machine Learning Projects that I did in Python!!

Legend:

• ✔ = project is finished
• ❌ = project is being planned, yet to start.
• ↔ = project is in motion, not finished

Case Studies:

1. Customer Segmentation ✔
2. Detecting Parkinsons Disease ✔
3. Medical Insurance Cost ✔
4. Mushroom Classification ✔
5. Movie Recommendation ✔
6. Webscraping Wikipedia for group discrographies ↔
7. Breast Cancer Detection ✔
8. Chatbots ↔
9. Stock Prices ❌
10. Mental Health in Tech ✔
11. Song Prediction ❌

Description:

Following are the projects/case studies I have done in the Machine Learning Field and its descriptions. Projects are grouped by learning styles:

Supervised Learning

Name	Description
Detecting Parkinson's Disease	SVM implementation to predict if a patient is disease positive or not
Medical Insurance Cost	Implement a Linear Regression model to predict the cost of insurance depending on several factors.
Mushroom Classification	Decision Trees implementation to predict if a mushroom is edible or poisonous
Breast Cancer	Implement Logistic Regression model to accurately predict if breast cancer is benign or not

Unsupervised Learning

Name	Description
Customer Segmentation	Implementation of k-Means Clustering to classify customers based on the income and spending score

Neither

Name	Description
Movie Recommendation	Build a recommendation system based on content and popularity by calculating Cosine Similarity.
Webscraping	Code to webscrape a Wikipedia page (specifically for a discography page)
Mental Health in Tech	Visualization that shows any patterns in the mental health of people working in tech.

Websites (for project inspo):

• TheCleverProgrammer