This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning

Last update: Aug 04, 2022

Overview

Cricket Score Predictor

Holds the Award of "BEST INNOVATIVE IDEA" on the Final Year Project Exhibition @FET University of Sindh

Machine Learning based Cricket Score Predictor web app, that predicts the first innings score of a T20 Cricket Match. !!

For now it runs on localhost using streamlit and anaconda, not deployed yet

Images

Run Locally

Run this command git clone https://github.com/developer-junaid/Cricket-Score-Predictor.git
You are now in the dev environment and you can play around

Tech Stack

Python (Programming)
NumPy (for data calculations)
Pandas (for data filtering and analysis)
Scikit-learn (To train machine learning models)
matplotlib (To plot graph calculations)
plotly (To develop graph on the UI)
Streamlit (To develop Frontend)

Owner

Developer Junaid

Fiverr Level One Seller | Full Stack Web Application Developer | Open Source Contributor

GitHub Repository

Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

216 Dec 23, 2022

Visualize classified time series data with interactive Sankey plots in Google Earth Engine

sankee Visualize changes in classified time series data with interactive Sankey plots in Google Earth Engine Contents Description Installation Using P

76 Dec 15, 2022

Timeseries analysis for neuroscience data

=================================================== Nitime: timeseries analysis for neuroscience data ===============================================

212 Dec 09, 2022

Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

141 Dec 27, 2022

MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees.

MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees. MooGBT optimizes for multiple objectives by defining constraints on sub-objective(s) along with a primary objective. Th

66 Dec 06, 2022

Getting Profit and Loss Make Easy From Binance

Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,

17 Dec 21, 2022

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

1 Jan 31, 2022

inding a method to objectively quantify skill versus chance in games, using reinforcement learning

Skill-vs-chance-games-analysis - Finding a method to objectively quantify skill versus chance in games, using reinforcement learning

4 Nov 19, 2022

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a

314 Dec 25, 2022

Bonsai: Gradient Boosted Trees + Bayesian Optimization

Bonsai is a wrapper for the XGBoost and Catboost model training pipelines that leverages Bayesian optimization for computationally efficient hyperparameter tuning.

24 Oct 27, 2022

Falken provides developers with a service that allows them to train AI that can play their games

Falken provides developers with a service that allows them to train AI that can play their games. Unlike traditional RL frameworks that learn through rewards or batches of offline training, Falken is

223 Jan 03, 2023

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var

1 Jan 06, 2022