ML_Colab_Repos

A collection of Machine Learning projects developed using Google Colab.

Table of Contents

• Projects
  • 1. Breast Cancer Classification using Logistic Regression
  • 2. Breast Cancer Classification using Neural Networks
  • 3. MNIST Digit Classification using Neural Networks
  • 4. Dog-Cat Classification using Transfer Learning
  • 5. Sales Prediction by Advertisement using Neural Networks
  • 6. Pandas Tutorial
• Getting Started

Projects

1. Breast Cancer Classification using Logistic Regression

• Notebook: BreastCancerClassificationLogisticRegression.ipynb
• Description: This project involves classifying breast cancer tumors as benign or malignant using a Logistic Regression model.
• Dataset: The dataset includes features such as radius, texture, perimeter, area, and smoothness of cell nuclei.

2. Breast Cancer Classification using Neural Networks

• Notebook: DL1_Breast_Cancer_Classification_using_NN.ipynb
• Description: This project utilizes a Neural Network to classify breast cancer tumors.
• Dataset: Similar to the Logistic Regression project, focusing on cell nucleus features.

3. MNIST Digit Classification using Neural Networks

• Notebook: DL2_MNIST_Digit_Classification_using_NN.ipynb
• Description: A Neural Network model trained to recognize handwritten digits from the MNIST dataset.

4. Dog-Cat Classification using Transfer Learning

• Notebook: DL3_DogCatClassification_using_TransferLearning.ipynb
• Description: This project employs Transfer Learning techniques to differentiate between images of dogs and cats.

5. Sales Prediction by Advertisement using Neural Networks

• Notebook: Sales_Prediction_by_Advertisement_using_NN.ipynb
• Description: Predicting sales based on advertisement data using Neural Networks.

6. Pandas Tutorial

• Notebook: PandasTutorial.ipynb
• Description: A comprehensive tutorial on data manipulation and analysis using the Pandas library.

Getting Started

To explore these projects:

1. Clone the repository:

   git clone https://github.com/Rohit-Madhesiya/ML_Colab_Repos.git

2. Navigate to the project directory:

cd ML_Colab_Repos

Author 👨‍💻

Developed by [Rohit Gupta].