https://github.com/akash1070/breast-cancer-prediction-

predicting breast cancer using machine learning models
https://github.com/akash1070/breast-cancer-prediction-

breast-cancer-prediction breast-cancer-wisconsin k-nearest-neighbours python3 random-forest-classifier standard-scaler svm-model train-test-split

Last synced: 7 months ago
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predicting breast cancer using machine learning models

• Host: GitHub
• URL: https://github.com/akash1070/breast-cancer-prediction-
• Owner: Akash1070
• Created: 2022-09-16T11:38:11.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-16T11:43:47.000Z (about 3 years ago)
• Last Synced: 2025-01-29T11:52:22.211Z (9 months ago)
• Topics: breast-cancer-prediction, breast-cancer-wisconsin, k-nearest-neighbours, python3, random-forest-classifier, standard-scaler, svm-model, train-test-split
• Language: Jupyter Notebook
• Homepage:
• Size: 418 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# **Building A Breast Cancer Prediction**

![Python 3.6](https://img.shields.io/badge/Python-3.6-brightgreen.svg)

![sklearn](https://img.shields.io/badge/Library-sklearn-orange.svg)

![Numpy](https://img.shields.io/badge/Library-Numpy-blue.svg)

![flask](https://img.shields.io/badge/Library-flask-white.svg)

![pyforest](https://img.shields.io/badge/Library-pyforest-red.svg)

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

## Deployment

    1. Data Extraction

    2. Exploratory Data Analysis(EDA)

    3. Feature Engineering

    4. Model Building and Tuning

   

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

import pickle

%matplotlib inline

from sklearn.model_selection import train_test_split

from sklearn.neighbors import KNeighborsClassifier

from sklearn.svm import SVC

from sklearn.ensemble import RandomForestClassifier

from sklearn.preprocessing import StandardScaler

```

    

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Tech Stack

![Logo](https://businesstoys.in/assets/programs/full-stack-data-science-professional-program/tools.png)

## Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning 

## Future Plans 

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found