Given a 2d grid with coins, it finds path to collect most possible coins
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Updated
Sep 28, 2019 - C
Given a 2d grid with coins, it finds path to collect most possible coins
Dash App for visualizing function approximations by polynomials.
A predictive software that would help both the police department and the “general public” to get an idea about the likelihood of bicycle theft and the recovery.
Files for compiling my presentation about H2O.ai.
Comparaison de différentes approches d'apprentissage supervisé pour la prédiction de la consommation d'énergie et des émissions de CO2 de bâtiments de la ville de Seattle.
Q-learning algorithm from scratch in python for optimal path finding
A model designed to predict the teams with the highest point value for a given week in fantasy football based on the parameters of the DraftKings website. Utilizing a web scraper and a SQL database, build a ridge regression to predict the fantasy football point value for all competing players in a given week. Using convex optimization find combi…
Implementation of various machine learning models in scikit-learn
This repository is the collection of all the basic algorithms used in Machine Learning. Some are implemented from scratch while some using existing libraries.
Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.
Models bank loan applications to classify and predict approval decisions using customer demographic, financial, and loan data. Applies machine learning algorithms like logistic regression and random forest for enhanced automation.
Iris flower predictor based on Grid Search Algorithm. **Requires IPython Notebooks to be run ;)
Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
Telecom customer churn example with h2o
This repository contains my work on Machine Learning with Python using scikit-learn library
Easy parameter specification using dataclasses made using attr library.
Increasing your Reddit karma. Help Reddit Moderators improve karma by autosubmitting posts to the correct subreddit. Reddiquette: Cross-post if it belongs to either or both subs?
In this project, I aim to predict raisin variety using machine learning. The dataset includes raisin features and two classes: 'Kecimen' and 'Besni.' We employ Decision Tree and Logistic Regression models, optimizing them with Grid Search and Randomized Search for improved performance.
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