DAVID OTOOSAKYI's repositories
DSN_AIEveryday_Data-Science-Intermediate
Data Science (Intermediate) Class lectures from the 2024 AIEveryday by Data Science Nigeria
KaggleX-BIPOC-Mentorship-Project
This repository contains my final project for the Cohort 3 (2023) of the KaggleX BIPOC Mentorship Program which held from August - November 2023.
AI4D-Malawi-News-Classification-Challenge
Simple Logistic regression model private LB score :0.654838709677419
Cryptocurrency-Closing-Price-Prediction
Code for 21st position for predicting closing price of crypto currency on Zindi.africa platform
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
folium
Python Data. Leaflet.js Maps.
GBV-Hackathon
This contains my solution for the Gender-Based Violence Tweet Classification Challenge hosted on Zindi
Intro_Statistical_Learning
Introduction to Statistical Learning
LearningApacheSpark
LearningApacheSpark
Merging-dataframes-with-Pandas
This repository contains how to merge dataframes using Python Pandas.
Merging-dataframes-with-Python-Pandas
Telstra is a telecommunication company on a journey to enhance the customer experience - ensuring everyone in the company is putting customers first. Using dataset of features from their service logs, this repository contains how to merge these datasets in preparation for future analysis.
Mini-projects
Config files for my GitHub profile.
ML-USU-SP21
ECN 5090- Machine Learning in Economics and Finance (Python)
OpenUnivCourses
FREE university courses in ML from Top Universities in CS
Passion-Fruit-Disease-Detection
My solution to an hackathon hosted on Zindi.africa by IndabaX Uganda
Stat4ML
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
TweetsClassification
Exploring Jaccard and Cosine similarities performances then visualising their output using k means and kmeans with pca. Additional input on time series analysis, web scrapping and twitter scrapping.