kgs-mathaba Goto Github PK
Name: Kagiso Mathaba
Type: User
Company: Platform45
Bio: Machine Learning Engineer, PhD Physics
Location: Cape Town
Name: Kagiso Mathaba
Type: User
Company: Platform45
Bio: Machine Learning Engineer, PhD Physics
Location: Cape Town
Isolation forest is an unsupervised learning algorithm for anomaly detection that works on the principle of isolating anomalies, instead of the most common techniques of profiling normal points In statistics, an anomaly (a.k.a. outlier) is an observation or event that deviates so much from other events to arouse suspicion it was generated by a different mean A data point is considered a global outlier if its value is far outside the entirety of the data set in which it is found A data point is considered a contextual outlier if its value significantly deviates from the rest of the data points in the same context. Note that this means that same value may not be considered an outlier if it occurred in a different context
Anomaly detection with autoencoder using Tensorflow
Mastering Apache Spark
Apple Stock Price Prediction And Forecasting Using LSTM Neural Network
ARIMA_and_Seasonal_ARIMA models
Collection of Data Science projects implemented on Amazon Sagemaker
Big Mart Sales prediction using XGBoost Regressor
Book Item based collaborative filtering
Multimodal Brain Tumor Segmentation Challenge 2020
Breast cancer detection using k-nearest neighbours ans support vector machine
Certification from online courses
This repository hosts the code and resources for an advanced Chicken Disease Image Classification system. Leveraging the power of deep learning with TensorFlow, data version control with DVC, containerization with Docker, and automated deployment on AWS through CI/CD pipelines, our project aims to improve poultry health monitoring.
Course resources for the Complete Machine Learning and Data Science ZTM Course
divding and grouping all individual customers of a grocery business into clusters based on shared common characteristics
Assesment challenge
Optimising business processes with Data Science techniques to the following 6 departments: (1) Human Resources, (2) Marketing, (3) Sales, (4) Operations, (5) Public Relations, (6) Production/Maintenance.
This repository contains a collection of small machine learning datasets for various purposes. These datasets can be used for learning, experimentation, and research in the field of data science and machine learning.
Deep learning with pythin
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses.
Collection of DS projects
Build and Run a Docker Container for your Machine Learning Model
git repo for Google data analytics course
This repository is for my codes from the book "Hands on machine learning with Scikit-Learn, Keras & TensorFlow" by Aurelien Geron
How to deploy ML models using Flask
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.