Pinned Repositories
Dakimjd
Config files for my GitHub profile.
twintproject
In this project i use twint library in python to analyze the Nairobi Gubenatorial race debate tweets 2022.
black_panther_tweet_analysis
BlackPanther-Wakanda-Forever
Car-Price
A Chinese automobile company Greely Auto aspires to enter the Nigerian market by setting up its manufacturing unit and producing cars locally to compete with their Nigerian, US and European counterparts
geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Group-4
The dataset describes 6476 rows of up-to-date information on tourist expenditure collected by the National Bureau of Statistics (NBS) in Tanzania. The dataset was collected to gain a better understanding of the status of the tourism sector and provide an instrument that will enable sector growth. Our goal is to accurately predict tourist expenditure when visiting Tanzania. The objective of this project is to develop a machine learning model to predict what a tourist will spend when visiting Tanzania. The model can be used by different tour operators and the Tanzania Tourism Board to automatically help tourists across the world estimate their expenditure before visiting Tanzania.
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
medical-claim
Leveraging customer information is of paramount importance for most businesses. In the case of an insurance company, the attributes of customers can be crucial in making business decisions. Hence, knowing to explore and generate value out of such data can be an invaluable skill to have.
Twitter-Sentiment-Analysis
🙂 Using machine learning techniques and text extraction, we are going to be predicting the sentiment of the text whether it is positive or negative. This ensures that companies save a lot of amount by understanding the sentiment of texts given by users during different instances of time respectively.
Dakimjd's Repositories
Dakimjd/geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Dakimjd/BlackPanther-Wakanda-Forever
Dakimjd/black_panther_tweet_analysis
Dakimjd/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Dakimjd/Water-portability
One of everyone's basic necessities is access to clean water for drinking. Legally speaking, having access to clean water for consumption is a fundamental human right.
Dakimjd/Car-Price
A Chinese automobile company Greely Auto aspires to enter the Nigerian market by setting up its manufacturing unit and producing cars locally to compete with their Nigerian, US and European counterparts
Dakimjd/medical-claim
Leveraging customer information is of paramount importance for most businesses. In the case of an insurance company, the attributes of customers can be crucial in making business decisions. Hence, knowing to explore and generate value out of such data can be an invaluable skill to have.
Dakimjd/Group-4
The dataset describes 6476 rows of up-to-date information on tourist expenditure collected by the National Bureau of Statistics (NBS) in Tanzania. The dataset was collected to gain a better understanding of the status of the tourism sector and provide an instrument that will enable sector growth. Our goal is to accurately predict tourist expenditure when visiting Tanzania. The objective of this project is to develop a machine learning model to predict what a tourist will spend when visiting Tanzania. The model can be used by different tour operators and the Tanzania Tourism Board to automatically help tourists across the world estimate their expenditure before visiting Tanzania.
Dakimjd/Twitter-Sentiment-Analysis
🙂 Using machine learning techniques and text extraction, we are going to be predicting the sentiment of the text whether it is positive or negative. This ensures that companies save a lot of amount by understanding the sentiment of texts given by users during different instances of time respectively.
Dakimjd/twintproject
In this project i use twint library in python to analyze the Nairobi Gubenatorial race debate tweets 2022.
Dakimjd/Dakimjd
Config files for my GitHub profile.