Micky373

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/Flex-box-practice

In this practice I have used flex box practices and implemented some cool staffs.

Micky373/Luis_Micky

Micky373/Vahan_Micky

Micky373/oddin-recipes

Micky373/Review_practice

Micky373/Setting_up_Hello_Microverse_project

Micky373/github-slideshow

A robot powered training repository :robot:

Micky373/holbertonschool-sysadmin_devops

Practicing basic shell scripts

Micky373/linters-config

Micky373/readme-template