Machine Learning

Expert guidance for building, training, evaluating, and deploying machine learning models following industry best practices and modern MLOps principles.

Machine Learning Workflow

Data Collection → Data Preprocessing → Feature Engineering → Model Selection → 
Training → Evaluation → Hyperparameter Tuning → Deployment → Monitoring

Data Preprocessing

Data Loading and Exploration

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns