Prerequisite :
You must have python 3.7 or more installed on your system.
You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.
If you work on a colab no need to install python or Any other IDE, you just need to sign in with google colab.
What you’ll learn
How to read the data using pandas dataframe
Perform Basic Exploratory Data analysis
How to perform the data preprocessing, feature engineering etc.
How to perform Data visualization using python.
How to build the machine learning classification model and how to evaluate the model.
Problem Statement:
In this analysis we are focused on bowler performance during the Indian premier league. The data which has been used is gathered from Kaggle. All Indian Premier League Cricket matches between 2008 and 2019.
Key highlights of projects or Essence
This project is about exploratory data analysis and classification analysis.
This project shows you how to read the data and perform Exploratory data analysis.
This project shows you how to perform feature engineering.
This project shows you how to build the machine learning classification model on the IPL dataset and evaluate the performance of the model.
This project shows you how to use the data to build the IPL prediction model by applying various machine learning classification algorithms.
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Room occupancy detection
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Skills:
Data Science, Machine Learning, Deep Learning, scikit-learn, pandas
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