Machine learning using Sci-Kit Learn
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Updated
Oct 24, 2017 - Jupyter Notebook
Machine learning using Sci-Kit Learn
Analysing "Diamonds" dataset from Kaggle
Repository for work/papers done in Georgia Tech's CS 4641 Machine Learning course
This project involves training the Logistic Regression model in the Scikit-Learn Library to classify various features of the iris dataset.
Predict win rate
#100DaysOfML Complete tutorial of ML from basics
Serverless(Lambda) Machine Learning With Scikit
🌸 Logistic Regression Classification on the Iris Dataset
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solution
Kaggle competition: Predicting diamonds prices
Config files for my GitHub profile.
Repository of All ML and Deep Learning Projects
Hands on Machine Learning algorithms using Scikit-Learn python library.
Example notebooks to produce the models used in the SexEst web application.
The project is aimed to predict the sallary of an employee vs. the number years of experience using polynomial linear regression
Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
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