Pinned Repositories
Anomaliy_detection_with_Isolation_forest
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_using_AutoEncoders
Anomaly detection with autoencoder using Tensorflow
ARIMA_and_Seasonal_ARIMA
ARIMA_and_Seasonal_ARIMA models
Big-Mart-Sales-Prediction-using-XGBoost
Big Mart Sales prediction using XGBoost Regressor
BraTS2020
Multimodal Brain Tumor Segmentation Challenge 2020
Multi-Matrix-Effective-Potential-Minimisation
This is a repo for my PhD work in minimizing the effective potential of several multi-matrix collective field theory Hamiltonians
Predicting-customer-churn-using-Decision-trees-Random-forest-and-XGBoost
In this tutorial, we use decision trees, random forest and XGboost to predict bank customer churn
TensorFlow_Development_ZTM
TensorFlow Developer Certificate in 2021: Zero to Mastery
Time_Series_Analysis
Topic-Modelling-using-Scikit-Learn
build a topic model from scratch on consumer complaints dataset
Kgs-Mathaba's Repositories
Kgs-Mathaba/BraTS2020
Multimodal Brain Tumor Segmentation Challenge 2020
Kgs-Mathaba/Anomaly_detection_using_AutoEncoders
Anomaly detection with autoencoder using Tensorflow
Kgs-Mathaba/ARIMA_and_Seasonal_ARIMA
ARIMA_and_Seasonal_ARIMA models
Kgs-Mathaba/Chicken-Disease-Image-Classification
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.
Kgs-Mathaba/ml_project
Kgs-Mathaba/Multi-Matrix-Effective-Potential-Minimisation
This is a repo for my PhD work in minimizing the effective potential of several multi-matrix collective field theory Hamiltonians
Kgs-Mathaba/TensorFlow_Development_ZTM
TensorFlow Developer Certificate in 2021: Zero to Mastery
Kgs-Mathaba/text_summarization
Text summarization project using transformer based model
Kgs-Mathaba/Apple_Stock_Price_Prediction_And_Forecasting_Using_LSTM_Neural_Network
Apple Stock Price Prediction And Forecasting Using LSTM Neural Network
Kgs-Mathaba/AWS_Sagemaker_Projects
Collection of Data Science projects implemented on Amazon Sagemaker
Kgs-Mathaba/Book_Recommendation_systems
Book Item based collaborative filtering
Kgs-Mathaba/Certificates
Certification from online courses
Kgs-Mathaba/Customer_Segmentation_Clustering_EDA
divding and grouping all individual customers of a grocery business into clusters based on shared common characteristics
Kgs-Mathaba/data-engineering-challenge
Assesment challenge
Kgs-Mathaba/Data_Science_Case_Studies
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.
Kgs-Mathaba/Datasets
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.
Kgs-Mathaba/Deep_Learning_with_Python
Deep learning with pythin
Kgs-Mathaba/gh-events
Kgs-Mathaba/Natural-Language-Processing-
Natural Language Processing Projects
Kgs-Mathaba/NLP-sequential-sentence-classification-Project
NLP sequential sentence classification Project. Making medical abstracts easier to read by breaking them down into subsections.
Kgs-Mathaba/python_deep_dive
Courses intended to dive into the inner mechanics and more complicated aspects of Python 3
Kgs-Mathaba/pytorch
Learning pytorch
Kgs-Mathaba/Pytorch-ZTM
PyTorch for Deep Learning: Zero to Mastery course.
Kgs-Mathaba/Recommender-Systems
Building Recommender Systems in python
Kgs-Mathaba/Self-Driving-Car-with-JavaScript
Self-driving car simulation using a neural network built with JavaScript and no libraries
Kgs-Mathaba/stable-diffusion-2-gui
Lightweight Stable Diffusion v 2.0 web UI: txt2img, img2img, inpaint, upscale4x
Kgs-Mathaba/Tensorflow_developer_professional
# DeepLearning.AI-TensorFlow-Developer-Coursera Here are my solutions to the programming exercises in the TensorFlow Developer course on Coursera by deeplearning.ai The courses offered in this professional certificate program were: 1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 2. Convolutional Neural Networks in TensorFlow 3. Natural Language Processing in TensorFlow 4. Sequences, Time Series and Prediction
Kgs-Mathaba/Time_Series_modelling_using_Facebook_Prophet
Kgs-Mathaba/TimeSeries_with_TensorFlow
Time series forecasting using Tensorflow
Kgs-Mathaba/wine_quality_prediction
Explore the art of oenology with the Wine Quality Prediction project! Using a diverse dataset of wine attributes, this project develops an end-to-end machine learning solution. The mission? Build a robust model to predict wine quality with remarkable accuracy