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  1. www.analyticsvidhya.com › blog › 2021Building an IPL Score Predictor – End-To-End ML Project

    Oct 31, 2022 · IPL Score Predictor- with the power of Machines and Deep Learning, you can make an app that can predict the outcome of an IPL match

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  3. www.geeksforgeeks.org › ipl-score-prediction-usingIPL Score Prediction using Deep Learning - GeeksforGeeks

    Jun 10, 2024 · IPL Score prediction using Deep Learning. In this comprehensive guide, we will learn how to conclude IPL score prediction so you can understand the calculation and workings of IPL scores in live matches. Table of Content. Why use Deep Learning for IPL Score Prediction? Prerequisites for IPL Score Prediction. Tools used: Technology used:

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  4. www.analyticsvidhya.com › blog › 2023Data Science Project: Creating an IPL Win Prediction App

    • Importing the Necessary Libraries. #utilities import pandas as pd import numpy as np #plotting import seaborn as sns import matplotlib.pyplot as plt %matplotlib inline #model building from sklearn.model_selection import train_test_split from sklearn.compose import ColumnTransformer from sklearn.preprocessing import OneHotEncoder from sklearn.linear_model import LogisticRegression from sklearn.ensemble import RandomForestClassifier from sklearn.pipeline import Pipeline from sklearn import metrics.
    • Read and Load the Dataset. matches = pd.read_csv('matches.csv') deliveries = pd.read_csv('deliveries.csv') matches.head() deliveries.head()
    • Exploratory Data Analysis. 3.1: Shape of our data. matches.shape,deliveries.shape. Output: ((756, 18), (179078, 21)) matches: There are 756 observations and 18 features in our dataset.
    • Data Preprocessing. 4.1: Grouping by deliveries on match id and innings. # grouping the 1st innings,2nd innings score in a particular matchid # lets say match id = 1,so inning 1 score = 207,inning 2 score = 172 totalrun_df=deliveries.groupby(['match_id','inning']).sum()['total_runs'].reset_index() totalrun_df.

  5. github.com › utkartist › IPL-MATCH-WIN-PREDICTIONIPL Match Outcome Prediction: - GitHub

    IPL Match Outcome Prediction: https://ipl-prediction-utk.streamlit.app/ This project focuses on predicting the outcome of Indian Premier League (IPL) cricket matches based on the current match scenario.

  6. github.com › mrpeace07 › IPL-win_predictorGitHub - mrpeace07/IPL-win_predictor: The IPL Win Predictor ...

    The IPL Win Predictor is a machine learning-based project designed to predict the outcomes of Indian Premier League (IPL) cricket matches. Utilizing historical match data, the model aims to provide insights and forecasts about match winners, enhancing the excitement and strategic planning for cricket enthusiasts and analysts.

  7. datadance.ai › machine-learning › cricket-meets-dataCricket Meets Data Science: Creating an IPL Win Prediction App

    Mar 14, 2023 · Above we have implemented IPL win prediction system app using Streamlit. It takes input from the user, including the batting team, bowling team, city where the match is being played, target score, current score, overs completed, and wickets fallen.

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  9. blog.bytescrum.com › predicting-ipl-match-outcomesPredicting IPL Match Outcomes with Machine Learning

    Jul 2, 2024 · Predicting the outcomes of IPL matches is not only an exciting challenge but also a valuable application of machine learning. Accurate predictions can enhance fan engagement, aid in strategic decision-making for teams, and offer insights into the dynamics of the game.