train-test-using-sklearn

Nitheshkamath/Fingerprint_Matching

In this Project we build fingerprint matching system that leverages a Siamese network to achieve accurate and efficient Fingerprint identification. The system consists of three main stages: image preprocessing, feature extraction, and matching.

e-paj/Machine-Learning-Projects-in-Python

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

Abhik35/Assignments-Naive-Bayes-salarydata

Prepare a classification model using Naive Bayes for salary data

bhattbhavesh91/random_state_train_test_split

A simple example of random state in train test split using python

marlevek/telecom-churn

3 modelos de classificação para analisar churn de um empresa de telecom e ao final responder a pergunta: Qual modelo teve o melhor desempenho?

Thakursiddhesh/Regression-Model-to-Predict-Cement-Compressive-Strength

Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.

anishajain5/Data-Science

Data Science Projects - beginner level.

ashley-green1/Credit_Risk_Analysis

Data preparation, statistical reasoning and machine learning are used to solve an unbalanced classification problem. Different techniques are employed to train and evaluate models with unbalanced classes.

Ashwin0229/Tree-Classifiers

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers

divijsharma/PythonScripts

Python ML Scripts

kaylah176/Credit-Risk-Classification

Objective: Address the classification problem behind predicting credit risk

MaoIlich/Project-0-Linear-Regression

Goal is to predict the miles per gallon of the cars using different attributes

MohidulHaqueTushar/Classification-Algorithms-Economies-Grew

Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.

nimmigopan/Diabetics_Prediction

A Diabetics Prediction website

Niteshchawla/Jamboree-LinearRegression

Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.

starkjones/Food-Sales-Predictions

Predicting sales volume at various stores

sultanazhari/Customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

sultanazhari/predicting-amount-of-gold-extracted

Zyfra is engaged in developing efficient solutions for heavy industry. as a Data Scientist we should be able to predict the amount of gold extracted or recovered from gold ore.

sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

T22sri/Personality_Recognition_NLP

Personality Recognition from text using nlp techniques

vineet416/EDA-Travel

EDA Travel data by PW Skills Data Analytics Course.

YaminiGhumre/Delivery_prj1

Linear Regression Practise

Abir0810/osaka_um_datamodel_using_machine_learning

Abir0810/Wine_quality_prediction_using_Machine_Learning

jbizzlefoshizzle/Linear-and-Ridge-Regression

The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

KasiMuthuveerappan/Jamboree-LinearRegression

📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

LearnToCode180/Titanic-Logistic-Regression

Create a Machine Learning model that predicts which passengers survived the famous Titanic shipwreck.

sheetaldayal/Simple-linear-regression

using sklearn

smartinternz02/SI-GuidedProject-8986-1646645243

Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU

sultanazhari/determining-market-value-of-a-car

Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.

sultanazhari/predict-taxi-orders-for-the-next-hour

A taxi company called Sweet Lift has collected historical data on taxi orders at the airport and they need to predict the number of taxi orders for the next hour.

sultanazhari/works-with-data-masking

An insurance company called "Sure Tomorrow" wants to solve some problems with the help of machine learning. As a Data Science we're Predict the amount of insurance claims that a new client might receive and Protect clients' personal data without breaking the model with masking