Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

A Jupyter Notebook / Google Colab based Machine Learning Notebook for training a model to predict the first inning score of an IPL match using data from matches played between 2008 to 2017.

R Markdown Notebook- Data Analysis and Regression Models in R

Predicting the compressive strength of concrete using ML methods and Artificial Nueral Networks. Tools used in this project are Jupyter Notebook, UCI ML repository,Kaggle,Google colab.

lasso regression is used in this notebook

Machine Learning Jupyter Notebooks

This repository contains notebook for Predictive Programmer Post

If you liked my analysis, pls upvote my notebook!

Lasso Regression based notebook for the kaggle knowledge based House Prices: Advanced Regression Techniques competition

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

This repository was made with the intention to practice Machine Learning concepts using Jupyter Notebook.

Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.

This repository contains a Jupyter notebook that implements Linear Regression using Gradient Descent from scratch. The notebook also includes a comparison of the results with the scikit-learn implementations of Linear, Lasso, and Ridge Regression by plotting graphs.

This repository contains jupyter notebooks providing an implementation of basic Machine Learning models for regression and classification.

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model.

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

This repository contains a Jupyter Notebook for the analysis of Non-Small Cell Lung Cancer (NSCLC) data using various machine learning techniques.

Regression Machine Learning Project

A collection of machine learning implementations for regression and classification tasks using Python and scikit-learn. Each model is detailed in Jupyter notebooks with explanations, code, and visualizations.

This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.