randomizedsearchcv

machine-learning-otimizacao-exploracao-aleatoria

solar-energy-efficiency

House_Price_Prediction

Estimating-the-Yield-of-Digital-Green-Crop

An active competition on Zindi which involves estimating the crop yield for farms in India with a focus on Bayesian Optimization

hyperparameter_tuning_iris_dataset

Hyperparameter tuning for iris dataset (GridSearchCV, RandomizedSearchCV)

Bank_Customer_Churn_Prediction

Model to predict bank customer churn

SweetLiftSalesAnalysis

Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.

ML_random_exploration

Machine Learning: Optimization with Random Exploration

tuningHyperparameters

study of hyperparameter tuning methods

SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

Randomized-Search-CV

This repository includes the implementation of RandomizedSearchCV (with cross-validation) for hyperparameter fine-tuning in Convolutional Neural Networks

Hand-Gesture-Recognition

Implement a Hand Gesture Recognition System. Given an image containing a single hand, the system is supposed to classify the hand gesture into one of six digits (from 0 to 5). The system handles different lighting effects and different hand poses as much as possible. It is implemented in a complete machine learning pipeline.

Machine_Learning_for_Face_Identification

Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.

Understanding-of-Hyperparameter-Tuning

Hyperparameter tuning is the process of finding the optimal hyperparameters for a machine learning model. Hyperparameters are values that are set prior to training a model and affect its performance, but cannot be learned from the data. Some common examples of hyperparameters include the learning rate, regularization strength.

Diabetes-Classification-with-Random-Forest-and-SVM-Classifiers

Diabetes Classification with SVM and Random Forest Classifiers

Student-Placements

Using Logistic Regression with RandomizedSearchCV Hyperparameter Tuning to find out whether a student gets placement or not.

Car-Price-Prediction-Model

A machine learning model that predict car prices using Random Forest Regression, and Randomized Search CV.

Flight_price_predict

Flight Price Predictor is a service that helps you forecast the price of a flight ticket .The goal of this project, first apply the machine learning models then predict to flight price.

DataScience-Aprobacion-Tarjetas-de-Credito

Proyecto final del curso de DataScience en CoderHouse que intenta ayudar a una entidad bancaria a la hora de decidir si emite una tarjeta de crédito al solicitante

CreditCard-Fraud-Detector

Machine learning model using sklearn on pandas dataframe

RandomizedSearchCV

RandomizedSearchCV on the KNN Classifier applied to iris dataset

Deploying-Machine-Learning-Models-via-Microsoft-Azure

Deploying Flight Price Prediction via Microsoft Azure

Flight-Price-Predicting---Heroku

Flight Price Prediction Model Deployment IN Heroku

Heart-Disease-Patients-Classification

Metis project 4/7

product_failure

Predict product failures

Naive-Bayes-Classifier

This project is based on a classification algorithm i.e. Naive Bayes which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobile phones are classified in accordance with their price range. There are four classes of price ranging from 0 to 3, 0 indicating cheaper mobiles phones and 3 representing expensive mobile phones. Univariate analysis is conducted to understand individual predictors and bivariate analysis is conducted to infer relationship between predictors with other predictors and target variable. Important features are identified by Random Forest.

predict-sales

Predicting the Sale Price of Bulldozers using Machine Learning

Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

Second-hand-Car-Price-Prediction-ML-model

This repository includes Machine Learning model on second hand car price prediction fron cardekho.com I have used RandomForest Regressor as it is best one performing on this dataset . This repository include model file which have all the implementation of model and other file is MODALUSAGE in which I have used the model I did by giving the features to predict the Price.

bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

spam_classification

Repositório de classificação de Spam (Kaggle competition)

Hyperparameter_Tuning

Hyperparameter tuning using gridsearchCV and randomizedsearchCV

EmployesEarning-DeepAnalysis_Prediction

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

flight_price_prediction

determining flight prices based on different parameters

walmart-sales-forecasting

factors affecting the sales of the walmart store