Pinned Repositories
DataAnalystJulius
GEO-AI-Challenge-for-Cropland-Mapping-Challenge
Current available solutions eg #WorldCover apply inconsistent "cropland" definitions from #FAOSATA’s and are rarely up to date. This work focused on building cost effective classification for cropland mapping for #Sudan, #Iran & #Afghanistan regions. For Afghanistan we focused on temporal classification while for the rest year-long classification
GeoAI-Challenge-for-Air-Pollution-Susceptibility-Mapping
This problem statement focused on building machine learning models that would assist create city-level air pollution susceptibility maps with a 5-meter spatial resolution for milan city in Italy. This city has unique challenges of dealing with pollution levels due to its unique topographic features.
GeoAI-Estimating-Soil-Parameters-Using-Hyperspectral-Images
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images.
Heart_Disease_Prediction
ITU-5G-Energy-Consumption-Modelling-Challenge
The fifth-generation(5G)of radio technology, is driving a profound transformations in connectivity eg faster speeds & lower latency. However, it introduces a significant challenge: energy consumption. There is thus need for accurate energy consumption modelling to save the environment and save on costs for telecoms.
ITU-Fault-impact-analysis-2023-Challenge
This problem statement involved predicting fault impacts on Radio Access Networks KPIs and prioritizing issues that affect data rates—a critical step toward enhancing network performance and preventing customer churn in the telecommunication space.
Mozilla-Common-Voice-STT-Challenge
This is a web service that allows people with medical Issues describe them in Swahili using voice. The solution will transcribe voice, send transcription to LLM. The results are not medical diagnosis but guidelines on how to mitigate their issues, over the counter drugs they can use before seeing a doctor. Users can listen and download the output
WEB-SCRAPPING-
In this small project I show case how a data analyst could get data from the web using responses and beautiful soup package
WID-Data-Journey-Nairobi
Can you predict carbon output in Africa using CO2 emissions data?
JuliusFx131's Repositories
JuliusFx131/WEB-SCRAPPING-
In this small project I show case how a data analyst could get data from the web using responses and beautiful soup package
JuliusFx131/WID-Data-Journey-Nairobi
Can you predict carbon output in Africa using CO2 emissions data?
JuliusFx131/GeoAI-Estimating-Soil-Parameters-Using-Hyperspectral-Images
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images.
JuliusFx131/Heart_Disease_Prediction
JuliusFx131/DataAnalystJulius
JuliusFx131/Databases
JuliusFx131/ExploreML-FUNAAB-Hackathon-Nigerian-Cars-Price-Prediction
StarterNotebook
JuliusFx131/fast_eda
Fast data exploration using Sweetviz
JuliusFx131/GEO-AI-Challenge-for-Cropland-Mapping-Challenge
Current available solutions eg #WorldCover apply inconsistent "cropland" definitions from #FAOSATA’s and are rarely up to date. This work focused on building cost effective classification for cropland mapping for #Sudan, #Iran & #Afghanistan regions. For Afghanistan we focused on temporal classification while for the rest year-long classification
JuliusFx131/GeoAI-Challenge-for-Air-Pollution-Susceptibility-Mapping
This problem statement focused on building machine learning models that would assist create city-level air pollution susceptibility maps with a 5-meter spatial resolution for milan city in Italy. This city has unique challenges of dealing with pollution levels due to its unique topographic features.
JuliusFx131/kontur_rayshader_tutorial
JuliusFx131/SaccoLoans
How I helped a local sacco identify non-performing loans
JuliusFx131/Time-series-prediction
JuliusFx131/zindi-arm-unicef-dvc
Zindi Arm UNICEF Disaster Vulnerability Challenge
JuliusFx131/ITU-5G-Energy-Consumption-Modelling-Challenge
The fifth-generation(5G)of radio technology, is driving a profound transformations in connectivity eg faster speeds & lower latency. However, it introduces a significant challenge: energy consumption. There is thus need for accurate energy consumption modelling to save the environment and save on costs for telecoms.
JuliusFx131/ITU-Fault-impact-analysis-2023-Challenge
This problem statement involved predicting fault impacts on Radio Access Networks KPIs and prioritizing issues that affect data rates—a critical step toward enhancing network performance and preventing customer churn in the telecommunication space.
JuliusFx131/Mozilla-Common-Voice-STT-Challenge
This is a web service that allows people with medical Issues describe them in Swahili using voice. The solution will transcribe voice, send transcription to LLM. The results are not medical diagnosis but guidelines on how to mitigate their issues, over the counter drugs they can use before seeing a doctor. Users can listen and download the output
JuliusFx131/10Alytics-Global-Data-Hackathon-2023
The primary goal of this case study is to analyze data, identify patterns, and propose informed, data-driven recommendations that governments and stakeholders can implement to effectively address and reduce unemployment rates, particularly focusing on the African context
JuliusFx131/fastT5
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
JuliusFx131/flexible_geospatial_mapping
Intended for an AMLD 2024 workshop.
JuliusFx131/Forecasting-Time-Series-Data-with-Facebook-Prophet
Forecasting Time-Series Data with Facebook Prophet, published by Packt
JuliusFx131/JuliusFx131
JuliusFx131/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
JuliusFx131/loony-gans-diffusion-models
JuliusFx131/Mastering-NLP-from-Foundations-to-LLMs
Mastering NLP from Foundations to LLMs, Published by Packt
JuliusFx131/OpenNMT-Tutorial
Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.
JuliusFx131/Radiant-Earth-Spot-the-Crop-Challenge
JuliusFx131/real-time-ohlc-with-bytewax
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
JuliusFx131/selenium-data-entry
JuliusFx131/specializing_llm_for_telecom_networks
[2024] Phi-2 model for answering telecom networks questions in Zindi competition with prompt engineering, simple RAG and LoRA fine-tuning.