Stephanie Omwanda's repositories
Anomaly-Detection
Anomaly detection using CNN-LSTM
Anomaly-Detection-KDD99-CNNLSTM
Intrusion Detection System using Machine Learning and Deep Learning
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
DataAnalyticsUOM
Projects for online course from University of Michigan on Sports Data Analytics, Statistics and Visualization.
folium
Python Data. Leaflet.js Maps.
foundations-sports-analytics-my-applications
My personal applications of the knowledge of the "Foundations of Sports Analytics" Coursera course by the University of Michigan
freqtrade
Free, open source crypto trading bot
golclinics.github.io
GoL Clinics website.
greykite
A flexible, intuitive and fast forecasting library
How-to-Enter-Your-First-Zindi-Competition
Zindi Africa is the largest data science competition platform that solves African's biggest challenges using Artificial Intelligence and Machine Learning.This is an example on how to enter your first zindi hackathon and upload your solution.
Image-reconstruction-and-Anomaly-detection
CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.
Leather-Defect-Detection
A comparitive study of CNN vs ViT architectures for the purpose of anomaly detection and defect classification in low-resolution leather surface images.
Machine-Learning-in-Sports
Some projects related to the application of Machine Learning for Sports Analytics
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Math-Behind-Moneyball-with-Python
In this repository I will start a series, based on Coursera's 'Math Behind Moneyball' course (which is about Data Science in sports). I will reproduce the content seen in the course using Python and drawing conclusions from the data.
Michigan-Basketball-Clutch-Time-MVP
Sports analytics personal project examining the 2018-19 University of Michigan Men's Basketball Season in an attempt to determine which player was most valuable to the team in important situations.
Mima-film-company-recommendation
Making recommendations for a startup film company though the use of Data visualization with Matplotlib
ML-Study-Guide
Minimal Machine Learning Study Plan
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
quadratic-equation-saudzi
A pypi module for a quadratic equation solving function with GUI
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
umich-robinson-plays
Exploratory Data Analysis (EDA) of Duncan Robinson's playing career as part of the University of Michigan Wolverine Men's Basketball team.