Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

This repository focuses on handwritten digit recognition using the MNIST dataset. It includes implementations of Logistic Regression, MLP, and LeNet-5 in PyTorch, organized into folders for reports, flowcharts, scripts, and notebooks, with detailed instructions for preprocessing and training.

This project demonstrates iris flower classification using machine learning. It's an accessible introduction to data science and classification techniques. Explore the code and Jupyter Notebook to enhance your data science skills.

This is GEM repo, as it has all the Hands-On ML notebooks

Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

Educational notebooks reviewing machine learning models and concepts.

This Jupyter Notebook focuses on classifying website visitors using logistic regression. The project leverages Google Analytics sample data and BigQuery for data analysis and feature engineering. It provides a comprehensive workflow that includes data import, preprocessing, exploratory data analysis.

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)

This notebook explores fraud detection using various machine learning techniques.

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Jupyter notebook for the "10-year Coronary Heart Disease (CHD) risk from the Framingham Heart study dataset" project (part of the course in Machine Learning)

Predictive analysis using logistic regression to determine college admissions based on CET scores. This project includes detailed steps for data preparation, model training, and evaluation using Python and scikit-learn in a Jupyter Notebook environment.

Implementation of Logistic Regression from scratch to predict the sex of penguin based on species, island and age using Python, Jupyer Notebook, Numpy, Pandas, Matplotlib

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Several notebooks that cover various ML concepts such LR, CNN's, RNN's, & more!

This Repository is all about the popular Artificial Intelligence Lab concepts and their variations. Which can be helpful to Machine learning. I have try Artificial Intelligence Lab all problems solutions using prolog, python Programming Language and Jupyter Notebook program.