posi-olomo

2018-SuperBowl-Data-Analysis

Analyzed the SUPER BOWL data, from the very first Super bowl to the 2018 Super bowl

Amazon-Customer-Data-Analysis

Performed sentiment analysis, explorative data analysis, recommendation analysis and behavioral analysis on amazon customer dataset

Developers-The-honest-truth

This repository contains code and documentation on Stack Overflow Developer Survey, 2017. I played around with it, using it as a case study to answer some pressing questions on my mind.

Disaster-Tweets-Predictor-NLP

Predicted tweets about disasters using the Ridge Classifier machine learning model with a score of 0.79068

Hi-there

Following a Github Intro video

House-Votes-Project

This project trains a model to predict house votes

Iris-Dataset

This looks at how well different algorithms work with classifying the Iris Dataset

posi-olomo

Config files for my GitHub profile.

QUANTIUM_Purchase_Behaviour_Analysis

Performed data analysis on Customer transaction data provided by QUANTIUM via Forage to get insights on customer purchasing behaviour

Titanic-Machine-Learning-Competition

I participated in the Titanic ML competition where I used machine learning to create a model to predict which passengers survived the Titanic shipwreck.

posi-olomo/Disaster-Tweets-Predictor-NLP

Predicted tweets about disasters using the Ridge Classifier machine learning model with a score of 0.79068

posi-olomo/2018-SuperBowl-Data-Analysis

Analyzed the SUPER BOWL data, from the very first Super bowl to the 2018 Super bowl

posi-olomo/Developers-The-honest-truth

This repository contains code and documentation on Stack Overflow Developer Survey, 2017. I played around with it, using it as a case study to answer some pressing questions on my mind.

posi-olomo/House-Votes-Project

This project trains a model to predict house votes

posi-olomo/QUANTIUM_Purchase_Behaviour_Analysis

Performed data analysis on Customer transaction data provided by QUANTIUM via Forage to get insights on customer purchasing behaviour

posi-olomo/Titanic-Machine-Learning-Competition

I participated in the Titanic ML competition where I used machine learning to create a model to predict which passengers survived the Titanic shipwreck.

posi-olomo/Amazon-Customer-Data-Analysis

Performed sentiment analysis, explorative data analysis, recommendation analysis and behavioral analysis on amazon customer dataset

posi-olomo/Hi-there

Following a Github Intro video

posi-olomo/Iris-Dataset

This looks at how well different algorithms work with classifying the Iris Dataset

posi-olomo/posi-olomo

Config files for my GitHub profile.

posi-olomo/prostate_cancer_genetic_association_risk_pred

Machine Learning approach for genetic risk predition

posi-olomo/PUNCH-Newspaper-Data-Analysis

posi-olomo/Sign-Language-Number-Image-Classification

Classifying images of Sign Language Numbers using Deep Learning. This project is currently ongoing.

posi-olomo/Supervised-Learning-with-scikit-learn

This repository contains my code from the datacamp course "Supervised Learning with scikit-learn"

posi-olomo/Comment-Toxicity-Classification

posi-olomo/freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

posi-olomo/GitHub-Copilot

posi-olomo/Iowa-House-Price-Predictor

I participated in the "House Prices" Competition where I trained a machine learning algorithm to help users to easily predict the price of their house based on information regarding the size and location of the house

posi-olomo/ivy

The Unified AI Framework

posi-olomo/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

posi-olomo/skills-code-with-codespaces

My clone repository

posi-olomo/support

The technical support FAQ for freeCodeCamp