Elias Andualem's starred repositories
sudoku-generator-and-solver
A python game project that can solve sudokus using back tracking algorithm and create solvable sudokus.
Awesome-AI-resources
Different kinds of resources useful for learning artificial intelligence including maths and statistics.
STT-engine
In STT-engine project, a speech to text model is build for Amharic language. Feature extraction is implemented by generating Mel spectrogram images. CNN is used to learn the feature maps from spectrogram images and BI-RNN is applied to predict the transcription given a time series feature map.
pharmaceutical-sales-prediction
The finance team of Rossmann wants to forecast sales in all their stores across several cities six weeks ahead of time. Managers in individual stores rely on their years of experience as well as their personal judgement to forecast sales. The task was to build and serve an end-to-end product that delivers this prediction to analysts in the finance team.
AgriTech-Lidar-data-pkg
PythonLidar is an open-source python package for retrieving, transforming, and visualizing point cloud data obtained through an aerial LiDAR survey
abtest-mlops
Design a reliable hypothesis testing to test if the ads that the advertising company runs resulted in a significant lift in brand awareness. Used hypothesis A/B testing to test if a creative ad campaign resulted in a significant lift in brand awareness. Applied machine learning approach for A/B testing and compared its result with the hypothesis A/B testing result.
Twitter-Data-Analysis
The current Coronavirus (COVID-19) pandemic has impacted and changed lives on a global scale since its emergence in late 2019. This work can be used to gain insight into how COVID-19 has affected African people’s livelihoods. Having that information can help governments to devise an effective prevention strategy to control COVID 19 in Africa. The main objective of this project is to analyze Twitter data extracted using the keywords “covide19” and “Africa” and build a fully automated MLops pipeline for identifying the sentiments and the topic of tweets.
Speech-to-text-data-collection-with-Kafka-Airflow-and-Spark
This project is to produce a tool that can be deployed to automate sending and obtaining audio files and text from and into a cloud storage, apply transformation in a distributed manner, and load it into a storage system in a suitable format to train a speech-to-text model.
casual-graph
Breast cancer prediction using causal Inference
TellCo-Data-Analysis
User analytics of telecomunicataion company inorder to make a recommendation on whether the company is worth buying or selling.
SmartAd-AB-Testing
Ad campaign performance evaluation using AB Testing.
abtest-mlops
Ad campaign performance evaluation using AB Testing.
Rossmann-Pharmaceuticals-Sales-Prediction
An end-to-end product that predicts sales across multiple Rossmans pharmaceutical stores.
USGS-Lidar-custom-package
A python package for fetching, manipulating, and visualizing USGS 3DEP lidar point cloud data.
Swahili-Speech-To-Text
A deep learning model that transcribes swahili speech to text
Twitter-Data-Analysis
The project explores the impact of COVID19 on people’s livelihoods via a dashboard using Twitter data. The system provides an insight into the impact COVID19 had on people’s livelihoods and aid in understanding people’s knowledge, attitude, and perceptions towards COVID 19.
telecom_analytics
Prior to investing in a new company, a thorough analysis of the data behind the company, and above all; the identification of opportunities to boost profitability is essential. The main goal of this project is to analyze Telco's data to determine whether it is worth buying or selling.
PharmaceuticalSalesPrediction
Forecast pharmaceutical company sales based on three years of consumer and sales data in multiple stores.
PythonLidar
PythonLidar is a python package for fetching, manipulating, and visualizing point cloud data. The package accepts boundary polygons in Pandas data frame and returns a python dictionary with all years of data available and a geopandas grid point file with elevations encoded in the requested CRS.