Nov 22, 2021 · The following example shows how to perform each of these types of bivariate analysis in Python using the following pandas DataFrame that contains information about two …

Oct 8, 2022 · Both solutions will use the following code snippet. All dates/times in your dataframe are stored as strings, which are hard to work with. Convert them to pd.Timestamp and …

Study_Hours_per_Week: Number of hours spent studying per week. Sleep_Hours_per_Night: Average hours of sleep per night. Attendance_Rate (%): Percentage of classes attended. …

Predict student performance using ML on a dataset of 10,000 records. Features include study hours, previous scores, extracurricular activities, sleep hours, and practiced question papers. …

Simple Linear Regression model to predict Exam Scores based on Hours Studied. This repo includes a Jupyter Notebook using Python, scikit-learn, pandas and seaborn.

Oct 2, 2020 · How do i find out total time spent at each location (latitude,longitude) and then add it to a new column in the dataframe? df.groupby(['lat','lon']).max()-df.groupby(['lat','lon']).min()? …

This project aims to Predict students mark based on their hourly study per day and also predict the minimum hours need to do to pass the exam. Python Packages : Numpy, Pandas, …

Student Marks Prediction: A machine learning project to predict student marks based on study hours using supervised learning. Built in Google Colab with Python libraries like Scikit-learn, …

Hours: Number of hours spent studying per week. Scores: Academic performance or marks obtained by the student. Open the EDA student study hours.ipynb Jupyter Notebook. Load the …

Jul 8, 2015 · How can I get the total number of hours in a Pandas timedelta? For example: >>> td = pd.Timedelta ('1 days 2 hours') >>> td.get_total_hours () 26 Note: as per the documentation, t...