/IPL-Score-Prediction-with-Flask-Deployment-Heroku

This Project is based on Sports Analytics, it is implemented to predict the cricket score of the team and deployed as a web API using Flask. For Better results, I have not included the result as accurate score instead of that my prediction will be in a range of prediction -10and prediction +10

Primary LanguageHTMLMIT LicenseMIT

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IPL-Score-Prediction-with-Flask-Deployment

Heroku App Link : https://iplscoreprediction.herokuapp.com/

Deployment Demo

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Table Of Contents

Project Goal

This Project is to designed to predict the Score of Indian Premier League using Regression Analysis with PYTHON,FLASK,HTML,SQL

Project Motivation

Every Year IPL will be going on but unfortunately in 2020 due to this pandemic everyone was in lockdown. I was Missing the IPL Match this year, and during this Lockdown i have gon through so much ideas in Machine Learning at that time i got inspired on this IPL Score Prediction concept.

Requirements Installation

The Code is written in Python 3.7. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository

pip install -r requirements.txt

The Python file has following sections:

IPL Score Prediction.py

1- Data Preprocessing and some Exploratory Data Analysis to understand the data

2- Data preparation: Feature Engineering and Scaling

3- Feature Selection using RFE and Model Building

4- Regression Assumptions Validation and Outlier Removal

5- Rebuilding the Model Post Outlier Removal: Feature Selection & RFE

6- Removing Multicollinearity, Model Re-evaluation and Assumptions Validation

Technologies Used

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License

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CopyRight 2020 DHEERAJ KUMAR

  https://opensource.org/licenses/MIT

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.