Machine Learning Portfolio: Exploring Core Algorithms

Introduction

Welcome to my Machine Learning portfolio! This repository serves as a showcase of my work in various ML tasks, employing some of the most foundational and versatile algorithms.

Repository Structure

This repository is organized into subfolders, each representing a specific project or exploration. Each folder typically contains the following:

README.md: Provides a brief overview of the project, the dataset used, and the key findings.

Notebooks :

Main Machine Learning Projects

Let's see one by one to all the notebooks:

Boston_house_price_prediction with Linear Regression, Random Forest Regressor, XGBoost Regressor and SVM Regressor

Decision_Tree_ML_Project_Python

Ensemble Learning Project 1

Ensemble Learning Project 2

Gaussian Mixture Model

K-means clustering

Logistic Regression and KNN Model

ML Project 1 and 2 with Linear Regression

ML Project 3 with Linear Regression

PCA

PCA project with IRIS dataset

Telco with PCA

Unsupervised algorithms: PCA, T-SNE, LDA

Dataset for notebooks :

Data

Article-Based Machine Learning Algorithms notebooks: A Repository Exploration

Article-Based Machine Learning Algorithms notebooks: A Repository Exploration

Data of article-Based Machine Learning Algorithms notebooks:

Hands-On ML with Scikit-Learn, Keras and TensorFlow

With Hands on ML with Scikit-Learn, Keras and TensorFlow book

WomeninML_2022 - The Women in ML Symposium Google 2022

My Notes and Notebook from "The Women in ML Symposium Google 2022"

Codes and notes from

IBM Machine Learning with Python

Syllabus, Notebooks, Certificate and Badge about the Course

UDACITY ML Nanodegree : Scholarship by Amazon

Codes,notes and exercises

If you want to use my Repository so, Getting Start :

To explore these projects, you can simply clone this repository using Git:

git clone https://github.com/lala2398/machine-learning-portfolio.git

Feel free to browse the notebooks, experiment with the code, and reach out if you have any questions. Good Luck :)