abdurrahmanKhan / Kickstarter-AnticipatorLinks
The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.
☆12Updated 4 years ago
Alternatives and similar repositories for Kickstarter-Anticipator
Users that are interested in Kickstarter-Anticipator are comparing it to the libraries listed below
Sorting:
- Minimal Learning Machine implementation using the scikit-learn API.☆10Updated 2 years ago
- PHP debug tool for controlling time and randomness while testing. Predictability is all.☆13Updated 5 years ago
- The respository is for Machine learning basiscs.☆13Updated 6 years ago
- Random Forest Library In Python Compatible with Scikit-Learn☆14Updated 4 years ago
- My machine learning projects about regression, classification and clustering☆14Updated 5 years ago
- House Prices: Advanced Regression Techniques - Kaggle competition☆8Updated 6 years ago
- Repository containing notebooks for my Pandas tutorial at SciPy India 2013☆15Updated 5 years ago
- Predicting Quality of Red Wine using Machine Learning☆17Updated 6 years ago
- This repository is a recommended track, designed to get started with Machine Learning.☆19Updated 4 years ago
- {PySpark, R, Python}: Several Data Science projects☆16Updated 7 years ago
- I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series…☆23Updated 5 years ago
- This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.☆10Updated 4 years ago
- A project to automatically scrape the web for information on the grand exchange and update prices. It keeps all of this data in the sqlit…☆10Updated 6 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆32Updated 4 years ago
- an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.☆20Updated last month
- Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset☆31Updated 7 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.☆31Updated last year
- A python library for repurposing traditional classification-based resampling techniques for regression tasks☆16Updated 4 years ago
- Automation tool to write tests for Http Api, Web Page Action, and Command Line based application with embedded mock server and highly con…☆38Updated 5 years ago
- Scikit-Learn's linear regression extended with p-values.☆9Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- ☆12Updated 7 years ago
- This Tableau project aims at visualizing and analyzing Air Pollution in India. Air Pollution is a major disaster which is slowly growing.…☆10Updated 6 years ago
- Simulating Supervised Learning Data☆9Updated 2 years ago
- Build a deep learning model for predicting the price of wine given the description☆9Updated 6 years ago
- Linear Regression From Scratch☆16Updated 7 years ago
- ☆13Updated 7 years ago
- Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling☆19Updated 6 years ago
- Machine Learning course at Linköping University for Industry☆20Updated 5 years ago