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.
An intelligent grid-traversal agent
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
Improving a model with Grid Search - Use Grid Search to find better parameters for a Decision Tree model
Machine Learning Model helps to gain an understanding of how to optimize a number of models using grid searching
churn prediction for telecom company
The university assignment that implements models to predict weather Pokémon is legendary or not.
Milwaukee Bucks Game Outcome Prediction using Tensorflow
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