Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours)
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Updated
Feb 21, 2022 - Jupyter Notebook
Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours)
Exploratory data analysis on IPL dataset
‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ . Find out the most successful teams, players and factors contributing win or loss of a team. Suggest teams or players a company should endorse for its products.
Decision Tree on IRIS dataset
This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.
This is simple and easy Machine Learning model. In this we have to predict the score of a student based on his/her study hours. This is supervised learning problem. So, I used simple Linear Regression algorithm. Also, I deployed this model on Heroku.
This is task 2 of The Sparks Foundation GRIPNOV20. This repository is basically focused on Unsupervised Machine Learning. I used K-Means Clustering Algorithm to make clusters of Iris dataset.
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