ML assignments from CSci 5525 at UMN

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

Explanatory/Exploratory Data Analysis on FIFA19 dataset using hypothesis testing, confidence interval , Multiple Linear Regression

A complete workshop on Machine Learning Algorithms

The challenge is to build a system that can quickly and accurately separate annoying spam emails from the important ones in your inbox. The goal is to make sure you only see the emails you want to see and avoid the hassle of dealing with unwanted or potentially harmful messages.

Code for the exercises of the Machine Learning course offered by Stanford University on Coursera.

A linear regression model in Machine Learning

Deep Learning and Text Analysis: Compare Linear Regression and Neural Network Results

Sure Tomorrow used machine learning to tackle challenges. I assessed its efforts to identify clients for marketing, forecast the chance of new client claims, and ensure better predictive performance, all while safeguarding client privacy without affecting previous models.

Developed simple python program that implements Linear Regression on a sample dataset. The object of the class is declared and is fitted with the X_Train and Y_Train data. A graph is plotted using the matplotlib.pyplot to visually represent the Linear Regression model. The programuses sklearn.linear_model from the scikit-learn library to import …

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

These are my notes, lessons, models, and code for topics on machine learning. Topics include everything from data pre-processing to logistic regression intuition, and more!

This project involves predicting Total Yield Energy of a gas turbine using linear regression models.

My first solo data science project! A simple project built using linear regression to predict box office success for movies using data I scraped myself.

Predicting annual highest of sneakers on StockX

Machine Learning Algorithms

Repo where different methods for price regression are used (supervised machine learning)

The diamonds price prediction with linear regression models.

HDF5 files in spark, MusicMillionData