Machine Learning notebooks for refreshing concepts.

This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.

Repo contains a variety of data insights techniques with an intermediate version including Data Analysis Notebooks + Data Visualization Notebooks + Data Pre-processing Notebooks

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

Notebooks from finance, general practice and Jovian courses on data analysis, ML and DL

Code to make it easy to import and process Zooniverse annotations and their metadata in Python/Jupyter Notebooks

Python Preprocessing for Sales Project Notebook

Classification of breast cancer diagnosis using Support Vector Machines in Python using Sklearn

Jupyter notebook tutorials in data processing and ML

This repository contains a Jupyter Notebook demonstrating a practical example of data science and machine learning for heart disease classification.

This repo has a Jupyter Notebook for an e-commerce NLP and data manipulation technical test.

Churn Prediction Model with EDA, Feature Engineering and testing out different models. Based on a kaggle notebook.

Python Data Visualitation and Time Series for Sales Project Notebook

Python Data Understanding and Data Cleaning for Sales Project Notebook

This notebook focuses on data analysis, class exploration, and data augmentation.

Reference blog for notebooks, various studies, book exercises, tutorials, and other platforms.

It's daily exercise notebook from Python Machine Learning A-Z course from Udemy.

A jupyter notebook approach using pythong to track and estimate the rotation period of an asteroid.

100 Days of ML Code, Including all machine learning related algorithms and processes explained with jupyter notebooks.

Analyzing employee data through Jupyter Notebook using Pandas and Plotly libraries to provide insights about performance, talent, demographics and so on.