Example notebooks and assignments for the Hamoye Internship Program(January - April)
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Updated
Apr 2, 2022 - Jupyter Notebook
Example notebooks and assignments for the Hamoye Internship Program(January - April)
Forage Cognizant Artificial intelligence virtual internship
Notebooks of the tasks which I have done during the internship
📔 Work Report for Google Summer of Code 2018
This is a internship project by Career Launcher.
It is a Unsupervised Machine Learning Algorithm. In this notebook we have to predict the optimum number of clusters in Iris dataset and represent it visually.
Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours) Using simple linear regression model, forecasting the marks of a student based on the numbers of hours studied per day. Tool(s) Used - Python (Jupyter Notebook)
Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook
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