Collection of Some of My Machine Learning Projects
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Updated
Jun 12, 2024 - Jupyter Notebook
Collection of Some of My Machine Learning Projects
Machine learning model with linear regression (Ridge regression) and standardscaler using sklearn module using the Algerian forest fire dataset with flask to open a webpage to add new data for prediction.
This repository contains scripts which I have written during Machine Learning A-Z course.
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
This is the repository of my study in Machine Learning Zoomcamp from DataTalksClub.
Will be updating work done by me in Machine Learning
This Contain Some Machine Learning Projects that I have done while understanding ML Concepts.
Chatbot developed with Gemini API.
Model trained on the the detection of forgery in artworks via the means of ML.
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
App user segmentation is the task of grouping users based on how they engage with the app. It helps find retained users, find the user segment for a marketing campaign, and solve many other business problems where you need to search for users based on similar characteristics.
Sentimental analysis of positive and negative reviews of the application. Visualization of data by using MatPLotLib, TextBlob and seaborn library.
Supply chain analysis on various types of products using MatPLotLib Library. Visualization of data and graphical analysis on the data.
Machine Learning Algorithms
Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Curso "Machine Learning: classificação por trás dos panos" pela Alura.
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈
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