In this project we will predict the time taken by NYC taxis to complete their trips using regression.
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Updated
Feb 6, 2022 - Jupyter Notebook
In this project we will predict the time taken by NYC taxis to complete their trips using regression.
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
Kaggle competition : prediction of the energy uses with machine learning
Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Building an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features deploy the Machine learning model via Flask
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my…
Regression Using NeuralNet and CNN and a detailed analysis over the results obtained from regression techniques in ML and DL.
A machine learning project that explores and predicts the prices of houses in Washington, USA
Explore and predict the used car price by building the machine learning model based on the existing data. Then examining the model between the actual price and the predicted price.
Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.
Video transition time estimation with different regression techniques
2020 DACON CUP - 최종 2위
This is a end to end data science project where the flight fare has been predicted using Random Forest model.
Loan Prediction Problem Analysis
This project utilizes housing features to develop a regression model for predicting housing prices.
Development of a site where flight prices could be predicted.
Development of a ratings predictor for Zomato food places.
Temperature prediction for Machine Learning course.
This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈
Experiment testing the feasibility of individual bird recognition from audio recordings
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