boosuro/profit_estimation_of_companies

profit estimation of companies with linear regression

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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.

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BatthulaVinay/Tesla-Stock-Prices-Predictions-LSTM

This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.

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radhe30/twitter-sentiment-analysis-NLP

This project analyzes the sentiment of tweets using natural language processing (NLP). It uses a dataset containing 1.6 million tweets, labeled as positive or negative, to train a machine learning model.

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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.

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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.

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bhattbhavesh91/random_state_train_test_split

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

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giriYT26/House-Price-Predictor-Using-Train-Test-Split-

House Price Predictor 🏡 "A machine learning model that predicts house prices based on square footage, number of bedrooms, and bathrooms using Linear Regression. The project includes data preprocessing, model evaluation, and visualization of actual vs. predicted prices."

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KasiMuthuveerappan/IVY_League-Admission-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.

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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.

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vineet416/EDA-Travel

EDA Travel data by PW Skills Data Analytics Course.

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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.

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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.

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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

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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.

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T22sri/Personality_Recognition_NLP

Personality Recognition from text using nlp techniques

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Ashwin0229/Tree-Classifiers

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

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YaminiGhumre/Delivery_prj1

Linear Regression Practise

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nimmigopan/Diabetics_Prediction

A Diabetics Prediction website

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marlevek/telecom-churn

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starkjones/Food-Sales-Predictions

Predicting sales volume at various stores

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Abir0810/Wine_quality_prediction_using_Machine_Learning

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smartinternz02/SI-GuidedProject-8986-1646645243

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

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Abir0810/osaka_um_datamodel_using_machine_learning

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LearnToCode180/Titanic-Logistic-Regression

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

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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.

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anishajain5/Data-Science

Data Science Projects - beginner level.

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