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#

random-forest-regressor

Here are 267 public repositories matching this topic...

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

  • UpdatedDec 8, 2022
  • Jupyter Notebook

The aim of this project to see to do the prediction of the weather using the different types of machine learning model.

  • UpdatedMay 10, 2023
  • Jupyter Notebook

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

  • UpdatedAug 16, 2016
  • Python

Algorithmic Trading Model Development for BTC/USDT Crypto Market. Crafting models that outperform benchmarks, balancing returns and risk management in the dynamic BTC/USDT market.

  • UpdatedAug 29, 2024
  • Jupyter Notebook

This project uses a machine learning approach in order to predict the number of goals scored by two teams in a match and then calculates the winning team

  • UpdatedJan 25, 2021
  • Python
Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and…

  • UpdatedFeb 12, 2023
  • Python

This is the proof of concept, how a relatively unsophisticated statistical model trained on the large MPDS dataset predicts physical properties from the only crystalline structure (POSCAR or CIF).

  • UpdatedOct 31, 2024
  • HTML

🌱 Predicting Number of Sales per Product 🌱

  • UpdatedNov 17, 2022
  • Jupyter Notebook

Using Spotipy (Spotify Api) and data science techniques, create a playlist with songs similar to user's top tracks.

  • UpdatedMay 24, 2023
  • Jupyter Notebook

Machine learning project to predict NYC property prices.

  • UpdatedNov 24, 2021
  • Jupyter Notebook

A Random Forest Regressor-based framework for compensating sensor drift in MOS gas sensors over 36 months. Designed for industrial IoT, it achieves <10% MAE, reduces recalibration by 40%, and runs in 5 ms on edge devices.

  • UpdatedFeb 22, 2025
  • Python

Aprendizaje automático en la celebración de contratos gubernamentales en Colombia.

  • UpdatedDec 23, 2022
  • Jupyter Notebook

Natural Gas Price Prediction System Using IBM Watson services

  • UpdatedAug 4, 2021
  • Jupyter Notebook

Predict the mileage per gallon (mpg) for cars

  • UpdatedSep 5, 2022
  • Jupyter Notebook

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded fromhttps://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

  • UpdatedJun 13, 2019
  • Jupyter Notebook

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