Stephen Adegbokun's repositories
Flask-blog-app
This is a blog app created using the Flask framework
Content--Based-Book-Recommendation-System
This is a Content Based Recommender System that recommends books
Diabetes_predictor
This project is a streamlit app that predicts if a woman is diabetic or not based on some features.
Face-Recognition
This is an implementation of the face_recognition module using python to enroll and recognize faces successfully/
HNG-sha256
This repo contains code that generates a csv file with a sha256 encryption of CHIP 007 json objects gotten from an input csv
manga-scraper
A python CLI tool that downloads manga and saves to your local machine.
ML-Study-Guide
Minimal Machine Learning Study Plan
Model-Based-Recommender-Engine
Book Recommender System Using Sci-kit learn N-neighbours
notes-cli-app
This is an basic CLI application that makes request to a server running on localhost with some dummy data.
Tensorflow
Learning how to use tensorflow from a coursera course and other sources
VGG19-TransferLearning
This is a neural network created using transfer learning techniques. I made used of the VGG19 model pretrained on the imagenet dataset
alx-low_level_programming
Contains C code for ALX
alx-pre_course
I'm now a ALX Student, this is my first repository as a full-stack engineer
alx-system_engineering-devops
Another task
alx-zero_day
I'm now a ALX Student, this is my first repository as a full-stack engineer
fastapi-series
This is the fastapi-tutorial repository.
HNG-first-task
This is the code for the stage one task in the backend track of the HNG i9 internship
hng-task-1
First task of HNGX
hngx-stage-2
Repo containing code for stage 2
mlops-zoom
Contains my homework code for the mlops zoomcamp course
YOLOV3-ObjectDetection
This is an implementation of Object Detection with a Webcam Stream as well as an Image. I made use of the pre-trained model weights trained with the COCO dataset.