Hey ML geeks!! This repository contains code for small, beginner machine learning projects on most common datasets.

Import basic libraries like numpy, pandas and scikit-learn.

Import the datasets

Perform exploratory data analysis and feature engineering on the datasets, to understand and visualize the data better, using libraries like seaborn and matplotlib.

Choose your model/ algorithm according to the dataset and your requirement.

Adjust the parameters/estimators.

Evaluate your model by using libraries like mean_squared_error, r2_score, sklearn.metrics etc.

Integrate the model your model with a website or an app.