Artificial intelligence and Machine learning project(python):

Project is about prediction throughclassification.And all work do in colaboratory.

Step 1:download the datasetof student score.

Step 2: load the dataset.

Step 3: after load the dataset the main step is data cleaning

these are some data cleaning steps:

Dropping Columns in a DataFrame.

Changing the Index of a DataFrame.

Tidying up Fields in the Data.

Combining str Methods with NumPy to Clean Columns.

Cleaning the Entire Dataset Using the applymap Function.

Renaming Columns and Skipping Rows.

we apply only4 sautaible steps.

Step 4: then split the data into tarning and testing with(70%,30%)

Step 5: then apply classification algorithms to find accuracy:

Naive Bayes.

Logistic regression.

K-nearest neighbors.

Decision tree

we apply only2 models

note: donot copy anything from internet.

if this dataset is not understandable then you choose another data and also share the link of dataset in answer.