Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for data visualization random forest
data-visualization
x
random-forest
x
9 search results found
Orange3
⭐
4,469
🍊 📊 💡 Orange: Interactive data analysis
Prophitbet Soccer Bets Predictor
⭐
192
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
How To Score 0.8134 In Titanic Kaggle Challenge
⭐
105
Solution of the Titanic Kaggle competition
Aiml Projects
⭐
44
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stock Market Analysis
⭐
27
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Github Stars Predictor
⭐
25
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
Hdb_resale_prices
⭐
18
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
Predicting Baseball Statistics
⭐
14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Data Science Portfolio
⭐
10
Step Detection Using Machine Learning
⭐
6
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
Related Searches
Datavisualization Data Visualization (7,481)
Jupyter Notebook Data Visualization (1,985)
Python Data Visualization (1,377)
Javascript Data Visualization (1,003)
Machine Learning Random Forest (662)
1-9 of 9 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.