My work on Great Lakes - statistical assignments
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Jul 30, 2018 - Jupyter Notebook
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My work on Great Lakes - statistical assignments
an assortment of machine learning projects
Using labeled data to predict the proportion survivors on the RMS Titanic.
📊 ML Model Validation using Data specific Cross Validation(CV) methods.
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
Project comparing the various factors affecting social media performance for the Hutch Data Commonwealth
Regression Methods in Python
Exploratory data analysis of Titanic dataset using Python
Hosting my ML Projects, learning tips
Machine Learning course using Python
Fetal Distress Classification based on Cardiotocography
A simple streamlit web application that detects whether a news article is fake or real.
Grade Prediction Regression using ridge, lasso, inn, and svr
Supervised Learning
This repository contains the final report drafted on the replication of the Caruana and Niculescu-Mizil paper on the comparison of supervised learning algorithms. Here, I compare Logistic Regression, Random Forest, and Artificial Neural Networks over 4 different datasets measured over 3 different metrics. This project was done for Cogs 118A. The…
In this project I will employ several supervised algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census.
All about emotion recognition.
Explores multiple machine learning models, to predict how good a car is for purchase and resale.
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