Demonstration notebooks for Machine Learning

Showcase notebooks for getML

Notebooks on some of the past data analysis and data science projects I've done

My self-practice Jupyter notebooks which reproduce the results from Datacamp Data Science lectures.

Data Science Feature Engineering and Selection Tutorials

Study notebooks made for learning machine learning for the Hawk team

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.

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

Notebook image and notebook for feature reduction talk

This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.

📓 📈 Functions from Abhishek Thakur's book Approaching (Almost) Any Machine Learning Problem.

Interactive ML Toolset

In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

Regression Notebooks

One of the main focus of the study in this project is to use machine learning techniques to analyze and visualize the spreading of the virus country-wise as well as globally during a specific period of time by considering confirmed cases, recovered cases and fatalities

some competitions (EDA, Feature Engineering, XGBoost)

This repository contains notebooks in which I have implemented ML Kaggle Exercises for academic and self-learning purposes. In my notebooks, I have implemented some basic processes involved in ML Data Processing like How to take care of Missing Values, Handling Categorical Variables, and operations like mapping, 'Grouping', 'Sorting', 'Renaming …

Extensive Collection of Jupyter Notebooks focused on Machine Learning covering different techniques includes Feature Engineering, Feature Selection, Feature Extraction, Model Training & Testing.

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies