Micky373
Top Rated Upwork Freelancer | Machine Learning | Python developer | Data Scientist
UpworkEthiopia, Addis Ababa
Pinned Repositories
Awesome_Books_ES6
This is an Awesome books project using the best of ES6 practices
Capstone_project_html_css_js
This is the capstone project I did. In this project I have implement the best practices of HTML, CSS and JavaScript
end_to_end_football_players_image_classification
In this repo I used a simple machine learning model to classify an image among my best five players. Lionel Messi, Cristiano Ronaldo, Ronaldinho, Patrick Vieira and Thierry Henry. I have created a simple UI to drag and drop images of players and used back end implementation for player name prediction.
end_to_end_home_price_prediction_ml_project
In this project I have tried to do some EDA on the home price dataset and run different machine learning models to check which model gives the best solution with a good parameter. After getting the best model and saving it then I used Flask for deploying the model.
end_to_end_sentiment_analysis
In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.
movie_recommender
In this repo I have done an end to end movie recommender system which a user can pass the movie he/she wants and the machine learning model will recommend related movies for the user.
My_portfolio
This is my portfolio website you can get all the information and my works from here.
potato_disease_classification_using_deep_learning
In this project I trained a CNN model and predicted three types of potato leaf. Either the potato may be healthy or has an early blight disease or late blight disase. The model has good accuracy on these 3 classes. But it is accepting only images of size (256,256) if we pass images other than that shape it won't work.
spam_classifier
In this repo I have done an end to end spam message classifier. In the website a user can pass the message and the model will predict whether the email is spam or ham. I have used a labeled data to train my model and streamlit for the UI and deployment.
To_DO_List
This the minimal to do list done using JavaScript, HTML and CSS.
Micky373's Repositories
Micky373/My_portfolio
This is my portfolio website you can get all the information and my works from here.
Micky373/Micky373
Micky373/end_to_end_sentiment_analysis
In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.
Micky373/movie_recommender
In this repo I have done an end to end movie recommender system which a user can pass the movie he/she wants and the machine learning model will recommend related movies for the user.
Micky373/spam_classifier
In this repo I have done an end to end spam message classifier. In the website a user can pass the message and the model will predict whether the email is spam or ham. I have used a labeled data to train my model and streamlit for the UI and deployment.
Micky373/AI_projects
I've completed a number of deep learning and machine learning projects in this repository. In the future, I'll be adding other projects as well. The majority of the data was gathered from Kaggle, TensorFlow datasets, and other places that offer free data. In order to create my models, I used the Google Colab environment.
Micky373/causal_inference
This project performs a causal inferences and drive a machine learning model for a breast cancer Wisconsin dataset.
Micky373/Complete-Data-Science-With-Machine-Learning-And-NLP-2024
Micky373/end_to_end_football_players_image_classification
In this repo I used a simple machine learning model to classify an image among my best five players. Lionel Messi, Cristiano Ronaldo, Ronaldinho, Patrick Vieira and Thierry Henry. I have created a simple UI to drag and drop images of players and used back end implementation for player name prediction.
Micky373/end_to_end_home_price_prediction_ml_project
In this project I have tried to do some EDA on the home price dataset and run different machine learning models to check which model gives the best solution with a good parameter. After getting the best model and saving it then I used Flask for deploying the model.
Micky373/machine_learning_projects
This repo contains different machine learning and deep learning projects
Micky373/month_wise_comparison
Micky373/Perfect-Roadmap-To-Learn-Data-Science-In-2024
Micky373/potato_disease_classification_using_deep_learning
In this project I trained a CNN model and predicted three types of potato leaf. Either the potato may be healthy or has an early blight disease or late blight disase. The model has good accuracy on these 3 classes. But it is accepting only images of size (256,256) if we pass images other than that shape it won't work.
Micky373/repetition_checking
Micky373/revenue_automationi
Micky373/sub-id-automation
Micky373/url_to_pdf
Micky373/a2sv_div2
Micky373/ad-campaign
Micky373/AgriTech_lidar_ETL
In this project I took data using API provided by USGS_3DEP ( United States Geological Survey 3D Elevation Program). AgriTech is a company working on maize farms and this project is done for the study of maize farms for water flow across different geographical areas. Extraction, Visualization and transformation of data were achieved in this project.
Micky373/Data-Science-Interview-Questions-Answers
Micky373/ELT_traffic_data
In this project we will take the data from pNEUMA and do the transforming after loading it. We will be using Apache Airflow for scheduling and DBT for data transformation.
Micky373/image_segmentation_project
Micky373/ml_project
Micky373/ml_zoomcamp
Micky373/pw_skills_assignments
This repo contains assignments from Full Stack Data Science pro course given by PW skills
Micky373/refund_by_location_dApp
In this project, a mobile web app will be developed to obtain location information from a mobile sensor module and confirm that the user is in a specific location. The funding will be given if the provided location and the required location are compatible. The Solidity programming language will be used in this project to create the blockchain concept utilizing an Etherium smart contract. The user can also view the status of his or her fund on the front end.
Micky373/speech-to-text-data-collection
A speech to text data collection using Apache Kafka, Apache spark, Airflow, and S3 bucket
Micky373/the_rambler